Data Engineers
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Role details
Tech stack
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Job description
We are seeking skilled Data Engineers with strong expertise in Snowflake + Coalesce, data-pipeline development, orchestration, ETL/ELT, cloud data platforms, and modern data-engineering practices., Build ingestion pipelines into Bronze layer from databases, files, and APIs.
Develop Silver and Gold transformations using dbt.
Enhance reusable metadata-driven ingestion frameworks.
Implement data quality, error handling, reconciliation, and observability.
Support profiling, defect resolution, and operational documentation.
Participate in Agile ceremonies and code reviews.
Requirements
Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.
Technical certification in multiple technologies is desirable.
Mandatory Technical skills: -
Snowflake (minimum 5+ years hands-on development)
Coalesce (Catalog, Quality, Transformation)
Advanced SQL
Python for data engineering and API integrations
dbt (Core or Cloud) with production experience
Airflow, Azure Data Factory, or Snowflake Tasks
CDC/Replication tools (Fivetran, Qlik Replicate, Debezium, etc.)
Git and CI/CD
Agile delivery experience
Claude AI
Good to have skills: -
SnowPro Core certification
AWS/Azure cloud storage integrations
Experience with large-scale source consolidation programs
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