Back
Mid-level, popular Data Engineer role with common cloud stack and 5+yrs demand yields moderate competition.
Core cloud data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 5+ years and specific Snowflake, ADF, dbt, Looker, Python requirements increase shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, implement, and continuously improve data platform architecture using Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric.
Build and maintain scalable ELT/ETL pipelines and develop lakehouse solutions using medallion architecture for data refinement.
Collaborate with offshore teams, support BI reporting needs, and uphold data governance including quality checks and metadata management.
5+ years work experience in data engineering or related fields.
Strong hands-on experience with Snowflake cloud data platform and Azure Data Factory (ADF).
Proficiency in Python, SQL, and ETL/ELT pipeline development.
Location requirement: Trivandrum or Kochi, India.
Experienced in modern Azure cloud technologies and data lakehouse architectures with medallion patterns.
Skilled in building automated data quality and validation frameworks ensuring reliable pipelines.
Capable of technical collaboration with offshore teams and supporting business intelligence reporting and analytics.