Software Engineer - Data Ops

Responsibilities & Skills

Monitor and maintain data pipelines and ETL processes to ensure reliability and performance.

Automate routine data operations tasks and optimize workflows for scalability and efficiency.

Collaborate with data engineering, analytics, and DevOps teams to support data infrastructure.

Implement monitoring, alerting, and logging systems for data pipelines.

Maintain and improve data governance, access controls, and compliance with data policies.

Support deployment and configuration of data tools, services, and platforms.

Participate in on-call rotation and incident response related to data system outages or failures.

Required Skills :

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.





3+ years of experience in data operations, data engineering, or a related role.

Solid SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL).

Proficiency with data pipeline tools (e.g., Apache Airflow). Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, BigQuery ).

Familiarity with scripting languages such as Python, Bash or Shell.

Knowledge of version control (e.g., Git) and CI/CD workflows.

Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

📌 Data Ops Engineer(Support,Python,SQL ) with US Product based Co Remote (Pune)
🏢 Seventh Contact Hiring Solutions
📍 Pune