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📌Artificial Intelligence
📌Data Science
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📌Data Engineering & BI
📌Big Data and Automation

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We are looking for candidates who are passionate about Data Engineering. Candidates who can build the data pipelines and automation of data science models. Someone who has passion to take the journey for Data Engineering technology evolution.

Click on link below to view job details

#dataengineering #principalengineer


https://www.kaam.work/platform/job/lowes-india-principal-engineer--data-engineering
Hiring Alert!

We are looking to add data science and data engineering people across levels, including leadership positions.

Data Science Roles:

1. Must have some formal training in Statistics, Mathematics, Econometrics or a similar quantitative discipline:
2. Python programming knowledge is a must
3. Prior experience in data science field is a plus
4. Must be a good human being, respectful, willing to learn and good team person
5. 0-8 Years of experience in Data Science
6. Must have good conversational skills in English and must come across as a confident person

write to connect@xtagelabs.com with the role of interest and CV
https://www.linkedin.com/posts/shikha-khulbe-599298219_hiringalerts-datascience-dataengineering-activity-6836565992135557120-QEFP
Only Immediate Joiners Preferred*

MathCo. is looking for a talented #DataEngineer. As a Senior Associate - Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies.

If you have a deep understanding of the concepts, architecture, tools, and the latest trends in Big Data, Data Warehousing, ETL, Databases, and AWS platforms, and are hands-on with advanced SQL, HiveQL, Python, Java, Scripting, Database, and Data Pipeline Configuration, then this is the perfect opportunity for you!
If you fit the requirements, do share your resume with me at riyaz.s@themathcompany.com

#dataengineering #hiringurgently
1) Data Science” & “Data Engineering” Hiring Alert

Hiring #DataScience and #DataEngineering” Interns for team at Sony.

#Freshers or #collegestudents with no prior experience can also apply.

These are “paid” internship roles for my team at Sony for 3-6 months.

Key skills: Python, SQL, Machine Learning, AWS
Good to know skills: Git, Deep Learning, Research and Publication
Please apply on https://www.linkedin.com/jobs/view/2867116411/

2) Data Engineer required for a full-time WFH position
Salary no bar for the right candidate
https://www.linkedin.com/posts/adityasaxena22_hiringurgently-jobopenings-dataengineerjobs-activity-6886628753242517504-TUi0

3) Senior Python developer 3-6 year who can carry hands on development independently. ( Mandatory )
Candidate should have very good knowledge in Docker, Kubernetes, Helm. ( Mandatory )
UI development skill on Angular/React will be added advantage. ( Optional )
Should be ready to work in different time zones and in multicultural team. Should have good communication skill. ( Mandatory )

Note – Early joiner will be preferred based on urgent project need .

#Interested candidate can share their #CV at priyanka.a.sengar@ericsson.com

4) HIRING #machinelearning Engineers.

If you are someone who is interested to
- Work on a year long #kaggle type (single) competition along with an awesome team.
- Understand medical imaging and domain.
- Work on 3d and 2d object detection, image/voxel classification and segmentation, self-supervised learning, multi-task and hierarchical learning etc to solve a set of tasks solving one problem.
- Contribute to open-source and write software (libraries) from scratch.
- Setup Active learning frameworks and data pipelines for large scale data processing (orders of TB’s) and annotations.
- See your models get deployed and used by stakeholders. Qure products has touched more than 5 million people in 50 countries.
- Test models (Be a Pro ML Tester) built, in 100’s of different scenarios. Monitor model performance after deployment.

Qure AI is the place for you. DM if you are interested.

We are looking for full-time and 6 month interns.
source: https://www.linkedin.com/posts/prakash-vanapalli-99909b3a_machinelearning-kaggle-activity-6886895122752131072--F9S
A typical #dataengineering interview in the Bay Area looks like:

- one hour (sometimes two) testing SQL skills
Focusing on window functions, JOINs, and CASE WHEN will make this interview much easier.

- 45-60 mins testing coding skills
Usually a leetcode medium question. Knowing lists, maps, stacks, and queues has gotten me through all my coding interviewing in data eng.

- one hour on data modeling / pipelining
Understanding logging, dimension, fact, and aggregate tables here helps a lot. Knowing about setting SLAs and data quality checks helps here too.

- 45-60 mins behavioral
This round focuses on how you’ll respond in certain situations. Remember being open to feedback is huge. Being willing to learn, disagree and commit, and leveling up your team helps a lot here.

- 45-60 mins project deep dive
Here you need to demonstrate the impact you’ve had at previous companies. Take this time to really sell what you could accomplish at the company you’re interviewing for. They look for technical depth and understanding. Also having a clear definition of impact here helps too. (Credit: Zach Milson)
A typical #dataengineering interview in the Bay Area looks like:

- one hour (sometimes two) testing SQL skills
Focusing on window functions, JOINs, and CASE WHEN will make this interview much easier.

- 45-60 mins testing coding skills
Usually a leetcode medium question. Knowing lists, maps, stacks, and queues has gotten me through all my coding interviewing in data eng.

- one hour on data modeling / pipelining
Understanding logging, dimension, fact, and aggregate tables here helps a lot. Knowing about setting SLAs and data quality checks helps here too.

- 45-60 mins behavioral
This round focuses on how you’ll respond in certain situations. Remember being open to feedback is huge. Being willing to learn, disagree and commit, and leveling up your team helps a lot here.

- 45-60 mins project deep dive
Here you need to demonstrate the impact you’ve had at previous companies. Take this time to really sell what you could accomplish at the company you’re interviewing for. They look for technical depth and understanding. Also having a clear definition of impact here helps too. (Credit: Zach Milson)
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