Data Ops

Job Description

Designation – Data Ops Engineer Location : Bengaluru Responsibilities: Experience with the system development lifecycle, such as gathering and refining requirements, data analysing and data profiling, designing and implementing solution, handling sensitive data sets, production deployment, troubleshooting and data conversion, etc. Experience in developing ETL solutions for Data Marts, Data warehousing and Operational Data Store (ODS) on any of the databases or Hadoop environments. At least 1 year of working experience on Streamsets platform tools. At least 1 year of experience on Snowflake and AWS related technologies. Good to have Experience on Talend Administration (TMC). Experience working in an Agile Environment. Proficiency in Python development for data processing, automation, and scripting tasks. Strong Experience with various database development, SQL, and PL/SQL, etc. Proficiency in Linux and shell scripts, job scheduling Products development experience is a big plus especially with focus on Data Warehousing benchmarking efforts Good organizational, planning and project management skills- exhibiting attention to detail accountability and follow through Should have lead a medium to large sized team and independently handled complex projects Bring in design thinking to conceptualize original ideas and transform them in. Responsible for identifying the performance bottlenecks and providing the solution for implementing the same. Should have strong analytical skills Qualifications Bachelor’s degree in Computer Science or a related technical discipline. Advanced degree in management is a plus. Job Types: Full-time, Permanent Pay: ₹209,974.79 - ₹400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Monday to Friday Experience: Databases: 1 year (Required) Work Location: In person Application Deadline: 11/05/2025