Position: Software Engineer I Data Operations (SE I Data Ops) Key Responsibilities
Monitor, maintain, and optimize data pipelines and ETL workflows.
Automate routine data operations to improve efficiency and scalability.
Troubleshoot and resolve data pipeline issues while ensuring data quality and integrity.
Collaborate with Data Engineering, Analytics, and DevOps teams.
Implement monitoring, logging, and alerting for data pipelines.
Maintain data governance, access controls, and compliance standards.
Support deployment, configuration, and maintenance of data tools and cloud services.
Participate in incident management and on-call support for data platform issues.
Continuously improve data operations processes and platform reliability.

Required Qualifications
Bachelor's degree in Computer Science,



Engineering, Data Science, or a related field. (BE/BTech/ MCA/BCA)
3 6 years of experience in Data Operations, Data Engineering, or a similar role.
Solid SQL skills with hands-on experience in PostgreSQL, MySQL, or similar databases.
Experience with Apache Airflow or other workflow orchestration tools.
Experience with AWS or GCP cloud platforms.
Familiarity with cloud data services such as BigQuery or Redshift.
Proficiency in Python, Bash, or Shell scripting.
Experience with Git and CI/CD workflows.
Solid analytical, troubleshooting, and communication skills.

📌 Software Engineer I – Data Operations Sql, Etl, Aws/gcp Remote Maharashtra
🏢 Seventh Contact Hiring Solutions
📍 Maharashtra