Position Summary
We are seeking a Senior Data Operations Engineer with 8+ years of hands-on operational support experience to own and maintain batch jobs on our data engineering pipelines. This role owns operational stability of data platforms supporting Tech domains and applications, ensuring reliable delivery, rapid incident resolution, and continuous performance improvement across the data ecosystem.
Key Responsibilities
Operations & Support
· Monitor and support batch job execution across data engineering pipelines; proactively identify and resolve failures before they impact business operations.
· Participate in on-call rotation schedules, providing timely response to production incidents.
· Own and drive incident management, change ticket, and problem management processes following ITIL best practices.
· Proactively monitor ticket queues and address assigned items immediately, ensuring SLAs are met.
· Support administration activities across data platforms, including Tomcat application servers and related infrastructure.
Technical Ownership
· Develop, troubleshoot,



and optimize Python and Java code supporting batch and pipeline operations.
· Identify and resolve performance bottlenecks; implement code and query optimizations for operational efficiency.
· Support and maintain ETL/ELT data pipelines with deep understanding of data extraction, transformation, loading, and processing patterns end to end.
· Manage and troubleshoot AWS Glue jobs, crawlers, and workflows supporting pipeline orchestration.
· Support data storage and database layers including S3 (data lake tables), RDS databases, and query/performance tuning.
· Support Oracle databases and OLTP systems, including query tuning and operational troubleshooting.
· Administer and support Cloudera Hadoop ecosystem components including HDFS and Impala for distributed data storage and querying.
· Work with Apache Spark for large-scale batch and distributed data processing troubleshooting and tuning.
· Maintain

📌 Sr Data Operations Specialist (Bengaluru)
🏢 Apexon
📍 Bengaluru