#middle #dataengineer
Middle Data Engineer (AWS Stack)
We are looking for a Data Engineer with strong AWS knowledge to build and maintain scalable data pipelines.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $800 – $1000 (Net)
Format: Remote / Flexible
Core Requirements
• Strong AWS knowledge (S3, Lambda, Redshift, Glue, Athena)
• Strong experience with data pipelines
• Apache Airflow (workflow orchestration)
• Python (for data engineering tasks)
• Experience with Trino or Presto
• Understanding of data modeling & warehousing
• Good English communication
Nice to Have
• Experience with Apache Iceberg
• Data lake architecture experience
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer (AWS Stack)
We are looking for a Data Engineer with strong AWS knowledge to build and maintain scalable data pipelines.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $800 – $1000 (Net)
Format: Remote / Flexible
Core Requirements
• Strong AWS knowledge (S3, Lambda, Redshift, Glue, Athena)
• Strong experience with data pipelines
• Apache Airflow (workflow orchestration)
• Python (for data engineering tasks)
• Experience with Trino or Presto
• Understanding of data modeling & warehousing
• Good English communication
Nice to Have
• Experience with Apache Iceberg
• Data lake architecture experience
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer (Snowflake Migration & Data Pipelines)
We are looking for a skilled Data Engineer with strong experience in data warehouse migration, particularly moving from PostgreSQL to Snowflake, to build and modernize data pipelines.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong experience with data warehouse migration, especially from PostgreSQL to Snowflake
• Hands-on experience building and modernizing data pipelines and data models
• Deep knowledge of SQL and data modeling for performance and scalability
• Experience using dbt for managing transformations and workflows
• Ability to refactor stored procedures into cloud-native solutions using Python and SQL
• Strong experience with large-scale datasets and raw data ingestion (ETL/ELT pipelines)
• Understanding of data quality, reliability, and healthcare compliance (HIPAA/PHI)
Nice to Have
• Experience with Snowflake-specific features and optimizations
• Data lake architecture experience
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer (Snowflake Migration & Data Pipelines)
We are looking for a skilled Data Engineer with strong experience in data warehouse migration, particularly moving from PostgreSQL to Snowflake, to build and modernize data pipelines.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong experience with data warehouse migration, especially from PostgreSQL to Snowflake
• Hands-on experience building and modernizing data pipelines and data models
• Deep knowledge of SQL and data modeling for performance and scalability
• Experience using dbt for managing transformations and workflows
• Ability to refactor stored procedures into cloud-native solutions using Python and SQL
• Strong experience with large-scale datasets and raw data ingestion (ETL/ELT pipelines)
• Understanding of data quality, reliability, and healthcare compliance (HIPAA/PHI)
Nice to Have
• Experience with Snowflake-specific features and optimizations
• Data lake architecture experience
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer (Databricks)
We are looking for a Data Engineer with a strong data quality mindset and hands-on experience with Databricks to build and maintain automated data quality checks.
Company: Data Smart Solutions
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong data quality mindset – ability to analyze data deeply and understand how everything connects
• Hands-on experience with Databricks and SQL Server testing environments
• Experience with data validation tools like Collibra or Great Expectations
• Strong Python and SQL skills to build automated data quality checks
• Good knowledge of data profiling and anomaly detection to identify issues in datasets
• Ability to read other people’s code and trace data issues back to the source in pipelines
• Experience with test automation, documentation, and tracking data quality metrics
Nice to Have
• Experience with cloud data platforms like AWS or Azure
• Knowledge of machine learning models for anomaly detection
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer (Databricks)
We are looking for a Data Engineer with a strong data quality mindset and hands-on experience with Databricks to build and maintain automated data quality checks.
Company: Data Smart Solutions
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote
Core Requirements
• Strong data quality mindset – ability to analyze data deeply and understand how everything connects
• Hands-on experience with Databricks and SQL Server testing environments
• Experience with data validation tools like Collibra or Great Expectations
• Strong Python and SQL skills to build automated data quality checks
• Good knowledge of data profiling and anomaly detection to identify issues in datasets
• Ability to read other people’s code and trace data issues back to the source in pipelines
• Experience with test automation, documentation, and tracking data quality metrics
Nice to Have
• Experience with cloud data platforms like AWS or Azure
• Knowledge of machine learning models for anomaly detection
What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Software Design Engineer (Azure & Data Platforms)
We are looking for a Software Design Engineer with strong experience in Azure-based solutions, APIs, and data platforms to build scalable and reliable systems.
Company: Data Smart Solutions LLC
Role: Software Design Engineer
Salary: $800 – $1000 (Net)
Format: Remote
Core Requirements
• Strong experience with Microsoft Azure cloud services
• Hands-on experience with Azure Functions for compute and orchestration
• Experience working with Azure Blob Storage for data storage solutions
• Strong knowledge of Kusto (Azure Data Explorer) for analytics and querying
• Experience integrating APIs such as qTest API and Jira API (OAuth 2.0)
• Experience with monitoring tools like Kusto dashboards and Application Insights
• Hands-on experience with CI/CD using Azure DevOps (PRs, pipelines)
• Strong programming skills in C#, Kusto Query Language (KQL), and SQL
Nice to Have
• Experience with scalable system design and microservices architecture
• Knowledge of performance optimization and distributed systems
What we offer
• Fully remote work
• Real-world engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Software Design Engineer (Azure & Data Platforms)
We are looking for a Software Design Engineer with strong experience in Azure-based solutions, APIs, and data platforms to build scalable and reliable systems.
Company: Data Smart Solutions LLC
Role: Software Design Engineer
Salary: $800 – $1000 (Net)
Format: Remote
Core Requirements
• Strong experience with Microsoft Azure cloud services
• Hands-on experience with Azure Functions for compute and orchestration
• Experience working with Azure Blob Storage for data storage solutions
• Strong knowledge of Kusto (Azure Data Explorer) for analytics and querying
• Experience integrating APIs such as qTest API and Jira API (OAuth 2.0)
• Experience with monitoring tools like Kusto dashboards and Application Insights
• Hands-on experience with CI/CD using Azure DevOps (PRs, pipelines)
• Strong programming skills in C#, Kusto Query Language (KQL), and SQL
Nice to Have
• Experience with scalable system design and microservices architecture
• Knowledge of performance optimization and distributed systems
What we offer
• Fully remote work
• Real-world engineering projects
• Growth opportunities
• Friendly team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#internship #dataengineer
Data Engineering Internship
Forget busywork - here you'll build the pipelines that power real products.
What you'll do
Real projects, not toy datasets:
- ETL/ELT pipelines at scale
- Cloud data platforms (AWS/Azure/GCP)
- Data modeling & warehousing
- Scalable, production-ready solutions
You bring
- Strong SQL & Python
- English B2+
- Sharp problem-solving
- Hunger to learn
The details
• Fully remote - work from anywhere
• Unpaid internship, focused on real experience
• Top performers earn a bonus - your effort pays off
Ready to turn your SQL & Python into real engineering experience?
Apply now: Application Form
👉 Подписаться на канал @UzDev_Jobs
Data Engineering Internship
Forget busywork - here you'll build the pipelines that power real products.
What you'll do
Real projects, not toy datasets:
- ETL/ELT pipelines at scale
- Cloud data platforms (AWS/Azure/GCP)
- Data modeling & warehousing
- Scalable, production-ready solutions
You bring
- Strong SQL & Python
- English B2+
- Sharp problem-solving
- Hunger to learn
The details
• Fully remote - work from anywhere
• Unpaid internship, focused on real experience
• Top performers earn a bonus - your effort pays off
Ready to turn your SQL & Python into real engineering experience?
Apply now: Application Form
👉 Подписаться на канал @UzDev_Jobs
#dataengineer
Data Engineer — до 25 000 000 сўм
Мы — fintech-команда, строим продукты в сфере платёжных систем. Ищем инженера данных, который умеет не просто писать запросы, а выстраивать надёжную дата-инфраструктуру.
Твои задачи:
• Разработка и сопровождение ETL/ELT-процессов
• Работа с DAG'ами в Apache Airflow
• Создание витрин данных (Apache Superset)
• Интеграция данных из разных источников
• Оптимизация SQL и контроль качества данных
Что мы ожидаем:
— Python + SQL (оконные функции, UPSERT, JSONB)
— Опыт с Airflow или аналогами
— Понимание Data Quality и Data Governance
— Чистый, документированный код
Плюсом будет знание банковской сферы и опыт в Agile/Scrum.
Условия:
до 25 000 000 сўм на руки, выплаты 2 раза в месяц
ул. Махтумкули 1, БЦ KAYAN
10:00–19:00
ТК РУ, оплачиваемый отпуск
Реальные задачи, сильная команда, рост
Резюме и вопросы: @Rahmat_Tech_HRM
👉 Подписаться на канал @UzDev_Jobs
Data Engineer — до 25 000 000 сўм
Мы — fintech-команда, строим продукты в сфере платёжных систем. Ищем инженера данных, который умеет не просто писать запросы, а выстраивать надёжную дата-инфраструктуру.
Твои задачи:
• Разработка и сопровождение ETL/ELT-процессов
• Работа с DAG'ами в Apache Airflow
• Создание витрин данных (Apache Superset)
• Интеграция данных из разных источников
• Оптимизация SQL и контроль качества данных
Что мы ожидаем:
— Python + SQL (оконные функции, UPSERT, JSONB)
— Опыт с Airflow или аналогами
— Понимание Data Quality и Data Governance
— Чистый, документированный код
Плюсом будет знание банковской сферы и опыт в Agile/Scrum.
Условия:
до 25 000 000 сўм на руки, выплаты 2 раза в месяц
ул. Махтумкули 1, БЦ KAYAN
10:00–19:00
ТК РУ, оплачиваемый отпуск
Реальные задачи, сильная команда, рост
Резюме и вопросы: @Rahmat_Tech_HRM
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer
We are looking for a Middle Data Engineer with strong experience in SQL, AWS, data warehousing, ETL/ELT, and pipeline orchestration to help build and develop a new R&D data warehouse.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600-$800
Format: Remote
Core Requirements
• Strong SQL and hands-on experience with Amazon Redshift — COPY, MERGE/upserts, staging/final tables
• Experience with AWS S3 and Parquet-based data ingestion
• Experience with AWS EMR and Apache Spark
• Strong understanding of AWS DMS, CDC, full and incremental loads
• Experience with Apache Airflow and DAG orchestration
• Experience with data warehousing, data modeling, and data architecture
• Understanding of data contracts, schema validation, and data quality
• Ability to independently design and deliver production-ready pipelines
• Strong code review, PR, and software engineering practices
Nice to Have
• Experience migrating Informatica workflows to Airflow
• Experience building data warehouses from scratch
• Experience with CDC-based architectures
• Mentoring or technical leadership experience
What You’ll Work On
• Building and developing the R&D data warehouse
• Designing ETL/ELT pipelines using AWS services
• Processing data with S3, EMR/Spark, and Redshift
• Implementing CDC and incremental data loads
• Building and maintaining Airflow DAGs
• Implementing schema validation and data quality checks
• Participating in architecture and requirements discussions
• Reviewing code and improving existing data pipelines
What We Offer
• Fully remote work
• Modern AWS-based data stack
• International data engineering projects
• Opportunity to build a data warehouse from the ground up
• Professional growth and technical ownership
• Collaboration with an experienced data engineering team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer
We are looking for a Middle Data Engineer with strong experience in SQL, AWS, data warehousing, ETL/ELT, and pipeline orchestration to help build and develop a new R&D data warehouse.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600-$800
Format: Remote
Core Requirements
• Strong SQL and hands-on experience with Amazon Redshift — COPY, MERGE/upserts, staging/final tables
• Experience with AWS S3 and Parquet-based data ingestion
• Experience with AWS EMR and Apache Spark
• Strong understanding of AWS DMS, CDC, full and incremental loads
• Experience with Apache Airflow and DAG orchestration
• Experience with data warehousing, data modeling, and data architecture
• Understanding of data contracts, schema validation, and data quality
• Ability to independently design and deliver production-ready pipelines
• Strong code review, PR, and software engineering practices
Nice to Have
• Experience migrating Informatica workflows to Airflow
• Experience building data warehouses from scratch
• Experience with CDC-based architectures
• Mentoring or technical leadership experience
What You’ll Work On
• Building and developing the R&D data warehouse
• Designing ETL/ELT pipelines using AWS services
• Processing data with S3, EMR/Spark, and Redshift
• Implementing CDC and incremental data loads
• Building and maintaining Airflow DAGs
• Implementing schema validation and data quality checks
• Participating in architecture and requirements discussions
• Reviewing code and improving existing data pipelines
What We Offer
• Fully remote work
• Modern AWS-based data stack
• International data engineering projects
• Opportunity to build a data warehouse from the ground up
• Professional growth and technical ownership
• Collaboration with an experienced data engineering team
Ready to apply? Fill out the form here:
Application Form
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer — Databricks / PySpark / Data Vault
We are looking for a Senior Data Engineer with strong Databricks, PySpark, and data modelling experience to join an enterprise data platform team building a Lakehouse that powers a web app, LLM agents, and ML models.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong experience with Databricks and Lakehouse medallion architecture (bronze / silver / gold)
- Advanced PySpark skills for building transformations in notebooks
- Hands-on experience with Delta Lake
- Experience with Data Vault modelling (hubs, links, satellites)
- Experience with dimensional modelling (facts and dimensions)
- Experience ingesting data with Fivetran and custom API integrations
- Experience working with Oracle SQL databases as source systems
- Spark performance tuning, including skew handling and Liquid Clustering
- Experience deploying with Databricks Asset Bundles (DABs)
- Experience with Unity Catalog, group-based RBAC, and PII masking
Nice to Have
- Experience with Great Expectations or similar data quality frameworks
- Experience handling unstructured files in Blob storage
- Experience supporting LLM / agent and ML use cases with curated data
What You'll Work On
- Building and maintaining a Databricks Lakehouse on a medallion architecture
- Ingesting data from Oracle systems and APIs into the bronze layer
- Modelling the silver layer with Data Vault and the gold layer with dimensional models
- Optimising Spark performance and Delta table layouts
- Implementing governance, access control, and PII masking in Unity Catalog
- Replacing manual scheduling processes and spreadsheets with a unified data platform
- Collaborating with the application team that builds on top of the gold layer for the web app, LLMs, and ML models
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer — Databricks / PySpark / Data Vault
We are looking for a Senior Data Engineer with strong Databricks, PySpark, and data modelling experience to join an enterprise data platform team building a Lakehouse that powers a web app, LLM agents, and ML models.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong experience with Databricks and Lakehouse medallion architecture (bronze / silver / gold)
- Advanced PySpark skills for building transformations in notebooks
- Hands-on experience with Delta Lake
- Experience with Data Vault modelling (hubs, links, satellites)
- Experience with dimensional modelling (facts and dimensions)
- Experience ingesting data with Fivetran and custom API integrations
- Experience working with Oracle SQL databases as source systems
- Spark performance tuning, including skew handling and Liquid Clustering
- Experience deploying with Databricks Asset Bundles (DABs)
- Experience with Unity Catalog, group-based RBAC, and PII masking
Nice to Have
- Experience with Great Expectations or similar data quality frameworks
- Experience handling unstructured files in Blob storage
- Experience supporting LLM / agent and ML use cases with curated data
What You'll Work On
- Building and maintaining a Databricks Lakehouse on a medallion architecture
- Ingesting data from Oracle systems and APIs into the bronze layer
- Modelling the silver layer with Data Vault and the gold layer with dimensional models
- Optimising Spark performance and Delta table layouts
- Implementing governance, access control, and PII masking in Unity Catalog
- Replacing manual scheduling processes and spreadsheets with a unified data platform
- Collaborating with the application team that builds on top of the gold layer for the web app, LLMs, and ML models
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer — Databricks / Python / LLM / Neo4j
We are looking for a Senior Data Engineer with strong Databricks, Python, and LLM pipeline experience to join a team turning large volumes of clinical-research documents into reliable, AI-ready data on Azure.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong hands-on experience with Databricks, especially Databricks Jobs
- Advanced Python skills, writing notebooks daily from ingestion to the gold layer
- Solid understanding of medallion architecture and how to define bronze / silver / gold boundaries
- Experience working with Delta tables
- Experience processing large volumes of PDF documents (100K+ files)
- Experience calling LLM endpoints from notebooks and tracking token usage and cost
- Experience with Azure cloud
- Ability to design and consolidate job orchestration pipelines
Nice to Have
- Experience with Neo4j or other graph databases
- Experience with healthcare or clinical-research data
- Experience building data layers consumed by AI agents
What You'll Work On
- Extracting and structuring data from large collections of clinical-research PDFs
- Building bronze, silver, and gold layers in Databricks with Python notebooks and Delta tables
- Integrating LLM endpoints into data pipelines and monitoring token spend
- Building a Neo4j graph alongside Delta tables for agents to query
- Preparing gold-layer data for an agentic layer used as an API tool
- Consolidating scattered and redundant Databricks job pipelines
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer — Databricks / Python / LLM / Neo4j
We are looking for a Senior Data Engineer with strong Databricks, Python, and LLM pipeline experience to join a team turning large volumes of clinical-research documents into reliable, AI-ready data on Azure.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong hands-on experience with Databricks, especially Databricks Jobs
- Advanced Python skills, writing notebooks daily from ingestion to the gold layer
- Solid understanding of medallion architecture and how to define bronze / silver / gold boundaries
- Experience working with Delta tables
- Experience processing large volumes of PDF documents (100K+ files)
- Experience calling LLM endpoints from notebooks and tracking token usage and cost
- Experience with Azure cloud
- Ability to design and consolidate job orchestration pipelines
Nice to Have
- Experience with Neo4j or other graph databases
- Experience with healthcare or clinical-research data
- Experience building data layers consumed by AI agents
What You'll Work On
- Extracting and structuring data from large collections of clinical-research PDFs
- Building bronze, silver, and gold layers in Databricks with Python notebooks and Delta tables
- Integrating LLM endpoints into data pipelines and monitoring token spend
- Building a Neo4j graph alongside Delta tables for agents to query
- Preparing gold-layer data for an agentic layer used as an API tool
- Consolidating scattered and redundant Databricks job pipelines
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
#middle #dataengineer
Middle Data Engineer — Snowflake / dbt / Finance Data / AI
We are looking for a Senior Data Engineer with strong Snowflake, dbt, and finance data experience to join a team unifying data from a dozen-plus acquired businesses into a single trusted source for FP&A, executive reporting, and AI-driven analytics.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong experience with Snowflake
- Strong experience with dbt and data modelling
- Experience working with Salesforce (SFDC) data
- Experience with Oracle NetSuite or similar ERP data
- Solid understanding of finance and SaaS metrics: bookings, billings, revenue, deferred revenue, revenue recognition, churn, ARR, and NRR
- Experience integrating Excel and flat-file data into a data warehouse
- Experience normalizing data from multiple disparate systems into one format
- Experience building a unified customer master without shared customer IDs
Nice to Have
- Experience with Workday Adaptive Planning
- Experience with post-acquisition data integration
- Experience with AI-assisted dbt development
- Experience with MCPs, LLMs, or building a context layer on top of data
- Experience enabling natural-language data access through Claude or Copilot
What You'll Work On
- Building and maintaining Snowflake and dbt data models
- Connecting finance data from spreadsheets and flat files
- Creating a golden dataset linking Salesforce to billings, revenue, ARR, and contracts
- Integrating and normalizing data from acquired companies' systems
- Building a unified customer master across all business units
- Delivering data for executive leadership dashboards
- Preparing the data foundation for an AI context layer and LLM-based access
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs
Middle Data Engineer — Snowflake / dbt / Finance Data / AI
We are looking for a Senior Data Engineer with strong Snowflake, dbt, and finance data experience to join a team unifying data from a dozen-plus acquired businesses into a single trusted source for FP&A, executive reporting, and AI-driven analytics.
Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $800 (Net) + performance-based bonus
Format: Remote
Core Requirements
- Strong experience with Snowflake
- Strong experience with dbt and data modelling
- Experience working with Salesforce (SFDC) data
- Experience with Oracle NetSuite or similar ERP data
- Solid understanding of finance and SaaS metrics: bookings, billings, revenue, deferred revenue, revenue recognition, churn, ARR, and NRR
- Experience integrating Excel and flat-file data into a data warehouse
- Experience normalizing data from multiple disparate systems into one format
- Experience building a unified customer master without shared customer IDs
Nice to Have
- Experience with Workday Adaptive Planning
- Experience with post-acquisition data integration
- Experience with AI-assisted dbt development
- Experience with MCPs, LLMs, or building a context layer on top of data
- Experience enabling natural-language data access through Claude or Copilot
What You'll Work On
- Building and maintaining Snowflake and dbt data models
- Connecting finance data from spreadsheets and flat files
- Creating a golden dataset linking Salesforce to billings, revenue, ARR, and contracts
- Integrating and normalizing data from acquired companies' systems
- Building a unified customer master across all business units
- Delivering data for executive leadership dashboards
- Preparing the data foundation for an AI context layer and LLM-based access
Ready to apply? Fill out the form here
For questions/inquiries: @hr_uzbot
👉 Подписаться на канал @UzDev_Jobs