Key Responsibilities :
- Monitor and support production data pipelines, ETL/ELT jobs, and batch processes.
- Troubleshoot data issues, perform root cause analysis, and implement long-term fixes.
- Collaborate with data engineers, analysts, and DevOps teams to ensure reliable data delivery.
- Optimize and maintain performance of SQL queries, stored procedures, and data workflows.
- Develop scripts and automation tools to improve support processes and reduce manual effort.
- Maintain detailed documentation of production incidents, fixes, and best practices.
- Participate in on-call rotations and respond to production outages as needed.
- Ensure data quality and integrity across multiple environments.Work with cloud platforms (e.g., AWS, Azure, GCP) and orchestration tools (e.g., Autosys, Airflow, dbt).
- Qualifications :
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 5 years of experience in data engineering, data operations, or production support roles.
- Proficiency in SQL and data manipulation across large datasets.
- Experience with ETL/ELT tools and pipeline orchestration (e.g., Apache Airflow, Informatica, Talend).
- Familiarity with cloud technologies such as Azure, AWS, or Google Cloud Platform
- Familiarity with scheduling tools such as Autosys
- Strong troubleshooting and analytical skills.
- Experience with scripting languages such as Python, Bash, or PowerShell.
- Experience in CI/CD pipelines for data infrastructure.
- Exposure to data governance and security best practices.
- Familiarity with version control (Git) and agile development methodologies.
- Knowledge of data modeling and warehouse architecture.
- Strong communication and collaboration skills.
- Ability to work under pressure and manage multiple tasks.
- High attention to detail and commitment to data quality.
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- Monitor and support production data pipelines, ETL/ELT jobs, and batch processes.
- Troubleshoot data issues, perform root cause analysis, and implement long-term fixes.
- Collaborate with data engineers, analysts, and DevOps teams to ensure reliable data delivery.
- Optimize and maintain performance of SQL queries, stored procedures, and data workflows.
- Develop scripts and automation tools to improve support processes and reduce manual effort.
- Maintain detailed documentation of production incidents, fixes, and best practices.
- Participate in on-call rotations and respond to production outages as needed.
- Ensure data quality and integrity across multiple environments.Work with cloud platforms (e.g., AWS, Azure, GCP) and orchestration tools (e.g., Autosys, Airflow, dbt).
- Qualifications :
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 5 years of experience in data engineering, data operations, or production support roles.
- Proficiency in SQL and data manipulation across large datasets.
- Experience with ETL/ELT tools and pipeline orchestration (e.g., Apache Airflow, Informatica, Talend).
- Familiarity with cloud technologies such as Azure, AWS, or Google Cloud Platform
- Familiarity with scheduling tools such as Autosys
- Strong troubleshooting and analytical skills.
- Experience with scripting languages such as Python, Bash, or PowerShell.
- Experience in CI/CD pipelines for data infrastructure.
- Exposure to data governance and security best practices.
- Familiarity with version control (Git) and agile development methodologies.
- Knowledge of data modeling and warehouse architecture.
- Strong communication and collaboration skills.
- Ability to work under pressure and manage multiple tasks.
- High attention to detail and commitment to data quality.
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