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Popular Data Engineer role, metro Bangalore location, hybrid work, broad tech requirements and known employer increase competition.
Data engineering skills transfer across industries but often require platform-specific tool knowledge, creating moderate sensitivity.
Platform-specific skills and listed certifications increase filters despite no explicit years requirement.
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Develop, implement, and optimize data ingestion, storage, and ETL processes for data lakes/warehouses.
Collaborate with data scientists and analysts to deliver relevant datasets ensuring data quality and integrity.
Research and evaluate new data technologies and tools to improve data engineering solutions.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Certifications such as Certified Data Management Professional, Databricks Certified Associate Developer for Apache Spark, Microsoft Certified: Azure Data Engineer Associate, or Oracle Database 12c Certified Implementation Specialist.
Skills in Agile Methodology, Cloud Computing, Data Engineering, Snowflake platform, and collaboration tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and maintaining scalable ETL pipelines with a strong focus on data quality and integrity.
Comfortable working in hybrid environments with collaboration across data science and analytics teams.
Familiar with latest data technologies and continuous improvement of data platforms in fast-paced, innovation-driven settings.