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Bengaluru mid-level Data Engineer role with broad cloud/dbt/Snowflake skills at a well-known employer drives high competition.
Core data engineering skills (Snowflake, Databricks, dbt, Python, SQL) are highly transferable across industries.
Explicit 2–4 years plus mandatory Snowflake/Databricks/dbt/Python/SQL requirements increases shortlisting strictness.
Design, develop, and maintain scalable ELT/ETL data pipelines and data models using SQL, Python, dbt, Snowflake, and Databricks.
Monitor and troubleshoot production data pipelines, resolving data processing and performance issues.
Collaborate with engineers, architects, analysts, and business stakeholders to deliver reusable high-quality data products.
2–4 years of professional experience in Data Engineering with modern cloud platforms like Snowflake and/or Databricks.
Proficiency in Python and SQL; experience with ETL/ELT tools such as dbt and Spark.
Bachelor's degree in Computer Science, IT, Engineering, Data Science, Mathematics, or related field, or equivalent practical experience.
Work Experience Required: 2–4 years; Location or visa sponsorship constraints: Not eligible for visa sponsorship.
Experience with modern cloud data platforms (Snowflake, Databricks) and lakehouse architecture.
Familiarity with AI-assisted development tools to improve productivity and code quality.
Ability to work in Agile environments collaborating across technical and business teams.