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Mid-level data engineer in Bangalore with common skills and broad requirements increases applicant competition.
Data engineering skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3-year requirement plus mandatory SQL, ETL, and data warehousing enforces medium filtering strictness.
Design, implement, and optimize data pipelines focused on SQL, scripting, and ETL processes.
Develop and maintain data warehousing solutions following star schema, Kimball, or Snowflake methodologies, including data visualization and reporting.
Contribute to data architecture development, pipeline orchestration, cloud cost optimization, and ensure compliance with data governance and security standards.
Bachelor's Degree or equivalent relevant experience.
At least 3 years of relevant or practical experience in data engineering.
Proficiency in SQL, basic ETL tools, and familiarity with data warehousing concepts and data pipeline orchestration.
Initial exposure to big data technologies such as Hadoop or Apache Spark.
Experienced in developing and optimizing SQL-based data pipelines and ETL processes within analytics environments.
Familiar with data warehousing architectures, including star schema and Kimball or Snowflake methodologies.
Capable of collaborating with stakeholders to produce insightful, visually appealing data solutions and support cloud cost optimization initiatives.