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Tier-1 brand, metro Bangalore, mid-level data role and broad skillset increases candidate competition.
Core data engineering skills (Spark, ETL, cloud) are highly transferable across industries.
Explicit minimum years, mandatory big-data and cloud experience, and degree requirement create strict technical filters.
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Design, develop, test, implement, and support full-stack technical data engineering solutions collaborating across Agile teams.
Leverage programming languages (Java, Scala, Python) and cloud data warehousing (Redshift, Snowflake) to build cloud-based data platforms.
Participate in code reviews, unit tests, and share knowledge by mentoring others and staying updated on emerging technologies.
Bachelor’s Degree in Computer Science or Engineering.
At least 2 years of professional application development experience (excluding internships).
At least 1 year experience in big data technologies and 1 year experience with cloud computing (AWS, Azure, or Google Cloud).
Must be based in Bangalore, India; Capital One will not sponsor employment authorization for this role.
Experience developing and deploying distributed data solutions using tools like Spark, Hadoop, Kafka, and cloud platforms (AWS, Azure, or Google Cloud).
Comfortable working in Agile environments integrating data engineering with machine learning and microservices architectures.
Strong proficiency in Python, SQL, Scala or Java with knowledge of NoSQL databases and data warehousing technologies.