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Strong employer brand and Bangalore location increase candidate density, moderated by senior specialization.
Technical data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 8+ years plus mandatory cloud, Spark, ETL and programming skills enforce strict filters.
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Design, build, test, and maintain complex or large-scale data products and integration pipelines.
Lead data integration services and provide oversight to junior team members in data processes and metadata management.
Analyze data sources, present insights, and resolve data-related problems to support organizational data usage.
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
8+ years experience in data engineering or related roles with strong skills in data integration and modeling.
Proficiency in Python, SQL, or Java and experience with data processing frameworks like Apache Spark or Hadoop.
Experience with cloud data platforms (AWS, Azure, Google Cloud), data warehousing solutions, and ETL processes.
Experienced in handling end-to-end data engineering projects including data modeling, integration, and problem resolution at scale.
Capable of mentoring junior team members and leading technical design decisions in data architecture and metadata management.
Strong analytical skills with the ability to communicate complex data insights clearly to multiple stakeholders.