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Tier-1 brand, mid-level data engineer in Bangalore with broad skills attracts many qualified applicants.
Core data engineering skills are highly transferable across industries; domain experience is helpful but not required.
Explicit 4–7 years plus required Hadoop/Spark/Azure and ETL skills create strict shortlisting filters.
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Develop and maintain scalable data pipelines and new API integrations to handle increasing data volume and complexity.
Connect offline and online data sources to improve understanding of customer behavior for personalization.
Ensure data quality and governance by cleansing data, improving readiness for analysis, and enforcing best practices for enterprise-wide data accessibility.
4-7 years of relevant work experience in data engineering or related field.
Bachelor's or Master's degree in Engineering, Computer Science, Math, Statistics, or equivalent.
Strong programming skills in Python, PySpark, or SAS; experience with Hadoop, Hive, Spark optimization, and distributed computing systems.
Experience with cloud platforms (preferably Azure) and associated services like Azure Data Factory, ADLS Storage, Azure DevOps; knowledge of DevOps tools such as Docker, CI/CD, Kubernetes, and Terraform.
Experienced in building and optimizing data pipelines and API integrations at scale within agile environments.
Proficient in enterprise ETL tools (e.g. Ab Initio, Informatica, DataStage) and SQL/data modeling to support complex data storage and analysis needs.
Familiar with cloud migration, BI tools (e.g. Power BI), and stakeholder management indicating ability to operate cross-functionally and handle cloud infrastructure.