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Mid-level role, metro location, and popular Data Engineer title increase applicant competition.
Core cloud data engineering skills are highly transferable across industries.
Explicit 5+ years plus mandatory Snowflake, dbt, ADF, and Python makes filtering strict.
Design, implement, and enhance end-to-end data platform architecture using Azure cloud technologies including Azure Data Factory, Data Lake Storage, and Microsoft Fabric.
Build and maintain scalable, reliable ELT/ETL pipelines for data ingestion, processing, and transformation from diverse source systems.
Implement automated data quality checks, medallion architecture for data lakehouses, collaborate with offshore teams, and support BI reporting and analytics needs.
5+ years relevant work experience in data engineering or related field.
Strong hands-on experience with Snowflake, dbt, and Azure Data Factory (ADF).
Proficiency in SQL (advanced queries and performance tuning) and Python programming.
Location requirement: Trivandrum or Kochi, India. Notice period and compensation details to be provided explicitly by candidates.
Experienced in designing cloud-native data platforms with expertise in medallion architecture (bronze, silver, gold layers).
Skilled in building robust data pipelines ensuring data quality, reliability, and governance.
Ability to work collaboratively with distributed teams, support BI functions, and provide technical guidance and documentation.