Shared jobSenior Data Engineer — Source Integrations & Pipelines
Pune · Staff/Principal
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
MEDIUM
Coditude is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Still inside it - posted 2h agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
13 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
- Build and operate end-to-end data pipelines from source systems into the lakehouse / data fabric.
- Integrate structured, semi-structured, document, and time-series sources into a common platform.
- Implement data processing, cleansing, and transformation for the priority pilot use cases.
- Ensure pipeline reliability, monitoring, and data quality across all feeds.
- Work with the architect to align pipelines to platform standards and modeling conventions.
- Prepare curated datasets for the visualization and MLOps workstreams.
- Strong data engineering background building production pipelines end to end.
- Hands-on experience with Azure data services and readiness to work with Snowflake.
- Experience integrating diverse sources: Oracle ERP, MongoDB, PostgreSQL, Cassandra, Redis, InfluxDB, and time-series data.
- Solid data processing skills (batch and streaming) and strong SQL.
- Experience with object and file storage such as MinIO / NFS.
- Data quality, testing, and pipeline observability practices.
- Snowflake production experience.
- Exposure to OT / IoT data feeds.
- Familiarity with orchestration frameworks and infrastructure-as-code.
- Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
- AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
- Strong self-learner who stays current with evolving tools, platforms, and practices.
- Good team player who collaborates well across engineering, operations, and stakeholder groups.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More Data Engineer roles in Pune
See allKeep browsing