Data Engineer

4 weeks ago

Ajmer, Rajasthan, India InCommon Full time

Experience: 3–6 years

Location: Remote (India)

Engagement: Full-Time Employment / Contractor

About the Project

InCommon is hiring on behalf of Podifi to support a Fortune 500 client on a large-scale database migration initiative. The project involves transitioning from Fivetran to Nexla, with Snowflake as the target data platform. This role is critical for ensuring a smooth migration, maintaining data quality, and enabling scalable operations across multiple workloads. Timelines are aggressive, with immediate onboarding prioritized.

Role Overview

We are seeking hands-on Data Engineers with strong data migration experience and exposure to diverse database systems.

  • Migrate ETL pipelines and plugins from Fivetran into Nexla/Snowflake.
  • Build automation for ingestion, transformation, and observability.
  • Deliver under tight deadlines in a fast-paced environment.

This is a technical contributor role—ideal for someone who thrives on execution rather than high-level architecture.

Key Responsibilities

  • Execute migrations from Fivetran and other legacy connectors into Snowflake/Nexla.
  • Design and maintain ETL pipelines using Python, PySpark, DBT, and related tools.
  • Build and optimize API-based integrations (authentication, pagination, automation).
  • Ensure data quality, consistency, and monitoring across pipelines.
  • Contribute to prioritization and phased delivery of ~1,500+ plugins.

Required Skills & Experience

  • 3–6 years in data engineering or ETL development, with hands-on migration work.
  • Strong knowledge of Snowflake (data ingestion, transformation, optimization).
  • Proficiency in Python for scripting and automation.
  • Experience with PySpark, DBT, and API-driven data integrations.
  • Familiarity with AWS/cloud-hosted data solutions and observability.
  • Solid track record in ETL → Data Engineering transition.

Nice to Have

  • Prior experience with large-scale plugin migrations.
  • Familiarity with Fivetran, Nexla, or similar aggregation platforms.
  • Ability to balance scripting-level problem-solving with broader data engineering.
  • Comfort working in time-sensitive, high-stakes environments.

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