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Coditude

Data Engineer — Source Integrations & Pipelines

Pune · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 33d ago

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86Overall
64Skills
97Experience

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What we know about this role

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Skills required

13 listed
Azure Data FactoryCommon PlatformsSource (Game Engine)Phase (Waves)MLOps (Machine Learning Operations)Snowflake (Data Warehouse)MFG/Pro (ERP)MongoDB+5 more
Azure Data FactoryCommon PlatformsSource (Game Engine)Phase (Waves)MLOps (Machine Learning Operations)

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Job description

Phase: Initial phase (foundational)
Required experience: 7+ years in data engineering, building and operating production data pipelines.
Role summary
Builds the end-to-end data pipelines that bring every source into the platform reliably. Responsible for source integrations, ingestion, transformation, and data processing that feed the lakehouse and, later, the graph and ML layers. This is the core delivery role for the initial pilot use cases.
Key responsibilities
  • 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.
Must-have skills and experience
  • 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.
Nice to have
  • Snowflake production experience.
  • Exposure to OT / IoT data feeds.
  • Familiarity with orchestration frameworks and infrastructure-as-code.
Relevant stack
Azure Data Factory / Synapse, Snowflake, Oracle ERP, MongoDB, PostgreSQL, Cassandra, Redis, InfluxDB, time-series sources, MinIO / NFS, APIs.
General attributes
  • 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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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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

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.

Join WhatsAppJoin Telegram

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.

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