Hinjewadi Pune Maharashtra Data engineer Jobs – 3377 Open Jobs Today

Data Engineer
nCircle Tech —Pune, Maharashtra
- Full-time
- CAD
- Master's degree
- AWS
Data Engineer
IdealCrew —Pune, Maharashtra
- ₹15,00,000 - ₹33,00,000 a year
- Azure
- Computer Science
- Customer service
Data Engineer
Rapidera Technologies —Baner, Pune, Maharashtra
- Computer Science
- Data analysis skills
- Java
Desktop Support Engineer
Matrix Business Machines Pvt Ltd —Hinjewadi, Pune, Maharashtra
- ₹20,000 - ₹26,000 a month
- Full-time
- Windows
- Microsoft Office
- 12th Pass
- Health insurance
Quick apply
Data Engineer
The Toro Company —Pune, Maharashtra
- Part-time
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Work from home
Databricks - Technical Specialist-Data Engg
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Azure
- SQL
- APIs
Sr. Data Engineer (5 PM to 2 AM IST)
CrowdStrike —Pune, Maharashtra
- Full-time
- CRM software
- Salesforce
- Analysis skills
Data Engineer
Principal Global Services —Pune, Maharashtra
- Full-time
- Remote
- Databases
- SQL
- AWS
Lead Data Engineer
Rearc —Pune, Maharashtra
- ₹40,00,000 - ₹65,00,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Python
Quick apply
1d
Associate Platform Services - Data Engineer
ZS —Pune, Maharashtra
- Online application
- Azure
- Computer Science
- English
- Work from home
Sr Developer - Salesforce Support Engineer
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Software troubleshooting
- Salesforce
- Communication skills
Associate AI/ML Engineer
Optum —Pune, Maharashtra
- Full-time
- Azure
- Oracle
- Java
- Health insurance
Senior Analytics Engineer (m/f/d)
Siemens —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Engineering
- English
- Commuter assistance
- Health insurance
Data Engineer
APEXX Global —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Databases
- SQL
- Health insurance
- Paid time off
Quick apply
Cloud Support Engineer
Pavni Engineering Private Limited —Pimpri, Pune, Maharashtra
- ₹22,000.00 - ₹15,84,103.46 a month
- Full-time
- English
- Microsoft Office
- 12th Pass
Quick apply
Data Visualization & Reporting Engineer
Vanderlande Industries —Pune, Maharashtra
- Full-time
- Communication skills
- Analytics
3d
Data Engineer - BA4
Barclays —Pune, Maharashtra
- Azure
- Oracle
- Java
Data Engineer
Barclays —Pune, Maharashtra
- SQL
- AWS
- Analysis skills
Data Engineer - B4
Barclays —Pune, Maharashtra
- Azure
- Oracle
- Java
Data Engineer II
Mastercard —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- SQL

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Data Engineer

nCircle Tech
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Jira
CI/CD
Node.js
Law
MCP
CAD
Spark
Master's degree
AWS
Terraform
Continuous integration
Unity
APIs
S3
Construction experience
AI
TypeScript
Python
Identity & access management

Full job description

Job Information

Date Opened 08/13/2026
Job Type Full time
Industry IT Services
Work Experience 5-6 years
City Pune
State/Province Maharashtra
Country India
Zip/Postal Code 411057

About Us

nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize.

Job Description

ABOUT THE ROLE

The Data + Automation team at nCircle Tech builds the data and automation infrastructure behind decision

making across the business. Our platform runs on Databricks and AWS. We're hiring a strong software

engineer to design, build, and ship production services — including LLM-powered agents and the tooling

around them. This is a hands-on, code-first role.

WHAT YOU'LL WORK ON

Designing, building, and productionizing LLM agents: tool-use loops, retrieval, orchestration,

evaluation, and guardrails

Writing the production-grade services and APIs around those agents in Python and Node/TypeScript
Deploying and operating on AWS — provisioning with IaC, wiring CI/CD, owning your code from

commit to production

Contributing to a shared codebase with feature branches, code review, and Conventional Commits

REQUIRED

Software Engineering (the core)

Strong Python and Node/TypeScript — writes clean, tested, production-grade code, not scripts
Solid fundamentals: data structures, API design, error handling, testing, debugging real systems
Feature branches and PRs; comfortable both giving and receiving code review; meaningful commit

messages

Follows engineering standards (12-factor, testing, documentation) without hand-holding

AWS + IaC

Real AWS experience — the environment our services run on
Deploys with Infrastructure as Code (Terraform, CDK, or equivalent) rather than clicking through

consoles

Comfortable with CI/CD, environment promotion, and AWS basics (S3, IAM, networking)

LLM Agents (non-negotiable)

This is a hard requirement, not a nice-to-have. We are a small team and cannot train this skill on the job

— you must already know how to build agents and be able to contribute to real work quickly.

Has built and shipped LLM agents to production — not demos or prototypes; systems that ran and

were relied on

Can explain the agent loop from experience: how the model decides to call a tool, observes the result,

and re-decides across multiple steps

Senior Software Engineer, AI Agents

Has designed retrieval (RAG) end-to-end — chunking, indexing, hybrid or re-ranked retrieval — and

can justify each choice

Has a real evaluation story: how they measured whether the agent was correct, and the worst failure

mode they hit in production and fixed

Knows when NOT to use an agent — where a plain LLM call or deterministic code is the better answer
Framework-agnostic — LangChain, CrewAI, Databricks Agent Framework, or raw tool-use loops all

fine; what matters is that you've shipped real agents

Databricks (working proficiency)

Our platform runs on Databricks, so this is required — but working proficiency, not mastery. You should

be able to build and ship in Databricks unaided; you don't need to be a Spark-tuning specialist.

Comfortable building and running Databricks notebooks and Jobs (task chains, parameters,

schedules) end-to-end

Understands the Unity Catalog three-part namespace (catalog.schema.table) and works within it
Has written Delta Lake operations beyond basic reads — e.g. MERGE, overwrite, schema evolution
Can navigate and debug an existing pipeline, not only write greenfield code

GOOD TO HAVE

Deeper Databricks / Spark depth — performance tuning, advanced Unity Catalog governance
MCP (Model Context Protocol) exposure
Agent observability and tracing tools in production
Construction, AEC, or project-based industry experience
Jira

GENERAL BAR

5+ years writing code, not configuring tools
Ships independently: scopes work, executes, communicates progress
Can ramp on an unfamiliar system by reading docs and asking targeted questions

Benefits

Skills / responsibilities the panel was screening for

Databricks platform depth: Unity Catalog (governance, lineage, three-level namespace, external/managed tables, row/column-level masking), Delta Lake, cluster management (all-purpose vs. job vs. serverless compute), Databricks Workflows
Data modeling: medallion architecture (bronze/silver/gold), SCD Type 1/2, surrogate key generation, star vs. snowflake schema design
Data quality & governance: schema evolution/enforcement, null handling, data contracts, naming standards/glossaries, tools like DQX, Great Expectations, Atlan
Pipeline engineering: idempotency, retry/failure handling, deletion propagation (soft/hard deletes)
Emerging tool fluency: interest in AI-assisted data engineering (Claude skills/plugins for profiling reports, dynamic dashboards) — they're actively moving in this direction
Business/domain awareness: understanding how a construction company (multi-domain: HR, risk, project delivery, competitive intelligence) uses data for things like cost prediction and bid-win-probability modeling

Apply Now

Refine Your Search

data engineer jobs in hinjewadi pune maharashtra

Data Engineer

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Data Engineer

Desktop Support Engineer

Data Engineer

Databricks - Technical Specialist-Data Engg

Sr. Data Engineer (5 PM to 2 AM IST)

Data Engineer

Lead Data Engineer

Associate Platform Services - Data Engineer

Sr Developer - Salesforce Support Engineer

Associate AI/ML Engineer

Senior Analytics Engineer (m/f/d)

Data Engineer

Cloud Support Engineer

Data Visualization & Reporting Engineer

Data Engineer - BA4

Data Engineer

Data Engineer - B4

Data Engineer II

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