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About the role
Position: Software Engineer I Data Operations Experience: 2 4 Years Work Mode: Remote 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. - 2 4 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. .
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