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Strong employer brand, metro hiring, and an attractive senior data engineering profile increase competition.
Core data engineering and cloud skills (PySpark, Glue, AWS, SQL) are broadly transferable across industries.
Explicit 7-12 years plus mandatory PySpark, Python, and AWS experience makes shortlisting stringent.
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Own design, development, deployment, monitoring, and support of analytics and legacy report rebuilds on data mart platform.
Implement CI/CD patterns and automation tools to integrate data platforms with external systems and enable developer self-service.
Participate in production support rotation to ensure platform uptime and troubleshoot production issues.
7-12 years IT experience with Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or related field.
Minimum 6 years relevant Data Engineering experience or 4 years with advanced degree.
Strong expertise in SQL, Python (mandatory), PySpark, and AWS native tools (S3, Glue, Lambda, EMR, Athena, Step Functions) with minimum 1 year hands-on experience.
Experience with job orchestration tools (AWS Step Functions, Airflow/Oozie) and source control systems (Git/GitHub).
Experienced in independently delivering data engineering solutions from business requirements using best practices and modern cloud-native technologies.
Skilled in automation, CI/CD implementation, proactive monitoring, and performance optimization of data engineering platforms.
Proven ability to mentor junior engineers and collaborate with IT and business partners to improve processes and platform resilience.