K K Nagar Chennai Tamil Nadu Data engineer Jobs – 2273 Open Jobs Today

Data Engineer
The Strong AI —Chennai, Tamil Nadu
- ₹5,00,000 - ₹10,00,000 a year
- Remote
- Azure
- AWS
- Python
- Work from home
- Flexible schedule
Quick apply
4d
Data Engineer
Numentica LLC —Saidapet, Chennai, Tamil Nadu
- ₹5 an hour
- Azure
- Java
- Databases
7d
Data Engineer
OEConnection —Chennai, Tamil Nadu
- Full-time
- Microsoft Access
- Azure
- SQL
11d
BI Engineer - Power BI & Tableau
GSSTech Group —Chennai, Tamil Nadu
- SQL
- Analytics
Quick apply
1d
Support Engineer
Nesh technologies pvt ltd —Chennai, Tamil Nadu
- ₹18,735.88 - ₹16,64,354.55 a month
- Full-time
- English
- Microsoft Office
- 12th Pass
- Paid time off
- Cell phone reimbursement
Quick apply
Data Engineer
Danfoss —Oragadam, Chennai, Tamil Nadu
- Full-time
- Computer Science
- SQL
- Analysis skills
3d
Data Scientist/Data Engineer/Data Analyst
Indium Software —Chennai, Tamil Nadu
- Microsoft Excel
- Azure
- Databases
Data Engineer
iByteCode Technologies —Mogappair, Chennai, Tamil Nadu
- Up to ₹6,00,000 a year
- Full-time
- Azure
- Windows
- SQL
Quick apply
1d
Data Engineer
Triyam —Chennai, Tamil Nadu
- Azure
- Computer Science
- Data analysis skills
Quick apply
Data Engineer ETL
Barclays —Chennai, Tamil Nadu
- Java
- SQL
- Analysis skills
Data Engineer
Barclays —Chennai, Tamil Nadu
- Azure
- Oracle
- AWS
Lead Software Engineer - PowerBI/Data Expert
Société Générale —Chennai, Tamil Nadu
- Microsoft Powerpoint
- Azure
- SQL
Software Engineer- Containers
Barclays —Chennai, Tamil Nadu
- Azure
- AWS
- APIs
Data Engineer
Glencore —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- SQL
Team Lead Data Engineer
Mindera —Chennai, Tamil Nadu
- ₹35,00,000 - ₹50,00,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Bachelor's degree
Quick apply
Azure Data Engineer
Eagle-HiTech Softclou Private Limited —Chennai, Tamil Nadu
- ₹19,093.46 - ₹18,67,749.33 a month
- Full-time
- Azure
- Oracle
- SQL
- Paid time off
- Cell phone reimbursement
Quick apply
13d
Quality Engineer
ProArch —Chennai, Tamil Nadu
- ₹15,00,000 - ₹18,00,000 a year
- Hybrid work
- Oracle
- English
- Databases
Quick apply
11d
Data Engineer
DHL —Chennai, Tamil Nadu
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Health insurance
- Paid time off
Data Engineer II
PDI Technologies —Chennai, Tamil Nadu
- Hybrid work
- Computer Science
- Salesforce
- SQL
Quick apply
ML Engineer I
UST —Chennai, Tamil Nadu
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply

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Data Engineer

The Strong AI
Chennai, Tamil Nadu

Quick apply

Job details

Contractual / Temporary
₹5,00,000 - ₹10,00,000 a year
4 days ago

Benefits

Work from home
Flexible schedule

Qualifications

Azure
HDFS
Data lake
Spark
MongoDB
AWS
PostgreSQL
Neo4j
ETL
Python
Hadoop

Full job description

Everything we deliver runs on trustworthy data. That's the piece you'd own.

Client data is fragmented and rarely where it needs to be. Your work is to turn it into a foundation the rest of the team can build on without a second thought. When a data scientist ships a model or an AI engineer deploys an agent, they rely on the pipelines you designed. Get this right and everything above it stands. That's the kind of work that doesn't always get applause, but everyone feels it when it's done well.

The work:

Design and run reliable pipelines at scale, batch and streaming
Architect the data platforms (warehouses, lakes, lakehouses) and the graph data foundation behind our GraphRAG work
Own data quality, governance, lineage, and access
Model data to serve both operational and analytical use, and stand up the feature-store infrastructure the data scientists draw on
Serve clean, documented data through clear contracts, and build reusable foundations so each engagement starts faster than the last

Where your work ends. You own data up to the contract: getting it in, making it trustworthy, and serving it. You don't build the models that use it (that's the Data Scientist) or the model-serving platform (AI Engineer and Software Engineer). Your job is to make sure no one downstream ever has to wonder whether the data is right.

What success looks like:

The team trusts your data enough to build on it without re-checking it
Pipelines run reliably and tell you when something breaks
Every data consumer has a clear, documented contract to work against
Foundations you build get reused across engagements instead of rebuilt

The stack we work in today: Python for the pipeline work; Postgres, MongoDB, and Neo4j across relational, document, and graph data; PySpark and HDFS for scale; Airflow for orchestration; Databricks as a platform; pipelines running in containers with the observability to know when one breaks; and AWS, GCP, or Azure underneath. You don't need every one of these. You do need the three shared foundations: software discipline, MLOps, and systems thinking.

About The Strong AI, and how we work

The Strong AI is an end-to-end AI implementation partner. Clients come to us because most organizations can run an AI experiment, but few can turn it into a system their business depends on. We close that gap. We don't hand over slideware or a notebook; we build systems that work inside a client's business, and where they want it, we run them.

You'll work across engagements and industries, on different problems and often different stacks. We're technology-agnostic: the problem and the client's environment choose the tools, so treat any stack we list as the ground we work on today, not a gate.

Across all roles, we ask for the same way of working:

Real software. Tested, reviewed, versioned code the next person, or the client's team, can pick up.
MLOps mindset. A model's life starts at deployment. Monitoring, retraining, drift, and rollback are handled before anything breaks.
Systems thinking. You see both the value slice and the whole it compounds into.
Quality and security, owned by you. Designed in from the first decision, not inspected in at the end. Everyone builds to the highest standard.
Built for handover. Clear code and docs the client's own team can understand, operate, and take over.

Pay: ₹500,000.00 - ₹1,000,000.00 per year

Benefits:

Flexible schedule
Work from home

Application Question(s):

What interests you about working for this company?

Work Location: Remote

Quick apply

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