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.
- Strong analytical, troubleshooting, and communication skills.

📌 Software Engineer I – Data Operations (SQL, ETL, AWS/GCP) | Remote (Maharashtra)
🏢 Seventh Contact Hiring Solutions
📍 Maharashtra