#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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/+e5t3_CXAPrM1NGZi 👈
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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/+e5t3_CXAPrM1NGZi 👈
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#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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/+e5t3_CXAPrM1NGZi 👈
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
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 For Vacancies, Resumes, Advertisements 👉 @jakhongir095
Subscribe for daily announcements! 🎯
Channel 👉 https://t.me/+e5t3_CXAPrM1NGZi 👈