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Metro location, mid-level 5+ years range, popular data engineer title, and broad skill requirements increase competition.
Core data engineering skills like Spark, SQL, Python, and cloud are broadly transferable across industries.
Explicit 5+ years requirement, many mandatory technologies, and on-site attendance raise screening strictness.
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Lead data engineering tasks focusing on ETL processes, data warehousing, and cloud-based data platforms, primarily on GCP and AWS.
Develop, optimize, and maintain data pipelines and storage solutions using tools like Apache Spark, Hadoop, Databricks, and SQL databases.
Manage data integration, API development, and ensure data availability and reliability in a hybrid onsite (4 days/week) environment.
5+ years of experience in data engineering or related roles.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proficiency in Apache Spark, pySpark, AWS EMR, Hadoop, Hive, Databricks, Python, Scala, and advanced SQL (Postgres).
Located in or able to work 4 days per week onsite in GCC Bangalore location.
Experienced senior data engineer skilled in large-scale ETL and cloud data architectures on both GCP and AWS platforms.
Strong programming background with expertise in Python, Scala, shell scripting, and modern version control (Git, SVN).
Familiar with data orchestration (Airflow, Autosys), API development/integration, and modern data storage systems (S3, Elasticsearch).