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Strong employer brand, generalist data engineer title, Bengaluru location, and broad skillset requirements increase applicant competition.
Core data engineering skills (SQL, Python, dbt, Snowflake) are highly transferable across industries, lowering background sensitivity.
Explicit 0–2 years requirement plus preferred cloud and tooling creates moderately strict screening for early-career candidates.
Build and maintain data ingestion, transformation, and ELT/ETL pipelines using SQL, Python, dbt, Snowflake, Databricks under supervision.
Support data validation, quality checks, pipeline monitoring, troubleshooting, and performance tuning.
Collaborate with seniors and stakeholders to deliver reliable data products supporting analytics, reporting, AI, and decision-making.
0-2 years of experience including internships or academic projects in Data Engineering, Data Analytics, Software Engineering, or related fields.
Basic proficiency in SQL and working knowledge of Python.
Bachelor’s degree in Computer Science, IT, Data Science, Engineering, Mathematics, or related discipline.
No visa sponsorship; must be eligible to work without sponsorship.
Early-career professional or recent graduate looking to grow technical skills in modern cloud data engineering and AI-assisted development.
Familiar with cloud data platforms (Snowflake, Databricks, or Azure/AWS/GCP) and data engineering frameworks such as dbt or Spark.
Detail-oriented, analytical, and able to collaborate effectively within Agile teams under guidance of senior engineers.