Data Engineer — Source Integrations & Pipelines
Pune · Staff/Principal
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LOW
Our tracked job listings for Coditude show limited recent activity.
First 72 hours
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Skills required
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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.
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