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Popular mid-level data engineering role in Bangalore with common skills leads to medium competition.
Data engineering skills transfer across industries but require Iceberg/AWS expertise, making fit moderately sensitive.
Explicit 5–8 years plus mandatory Iceberg, Python, and AWS skills enforce strict shortlisting.
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Develop and maintain governed data products using Apache Iceberg to ensure data quality and lineage.
Build and optimize scalable ingestion pipelines integrating structured and unstructured data for analytics and AI use cases.
Support data governance initiatives including schema evolution, auditing, and query performance optimization.
5–8 years of relevant work experience in data engineering or related roles.
Proficiency with Apache Iceberg, Python, SQL, data modeling, and ETL/ELT processes.
Experience working with AWS Data Services for data storage and processing.
Ability to implement data validation, reconciliation, and maintain schema evolution and auditing.
Experienced in building and optimizing data ingestion pipelines at scale with attention to data quality and governance.
Skilled in integrating diverse datasets to enable downstream analytics and AI applications.
Familiar with performance tuning for storage and queries within modern data architectures such as Data Lakehouse.