Sr. Technical Support Engineer (Data Ops)

Required Skills and Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in supporting and maintaining ETL pipelines.
• Strong proficiency in SQL and experience with relational databases (e.g., Redshift).
• Solid understanding of distributed computing concepts and experience with Apache Spark.
• Hands-on experience with AWS Glue and other AWS data services (e.g., S3, Lambda).
• Experience with data warehousing concepts and best practices.
• Excellent problem-solving, analytical skills and strong communication and collaboration skills.   
• Ability to work independently and as part of a team.

Preferred Skills and Experience:

• Experience with other ETL tools and technologies
• Experience with scripting languages (e.g., Python).
• Familiarity with Agile development methodologies.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Roles & Responsibilities

• Monitor and maintain existing ETL pipelines, ensuring data quality and availability.
• identify and resolve pipeline issues and data errors.
• Troubleshoot data integration processes.
• If needed, collaborate with data engineers and other stakeholders to resolve complex issues
• Develop and maintain necessary documentation for ETL processes and pipelines.
• Participate in on-call rotation for production support.