• Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on. • Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on. • Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh. • Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it.

• Assist in the design, development, and maintenance of analytical reporting ETL pipelines and related front-end interfaces (e.g., dashboards), leveraging data languages such as SQL and Python. • Contribute to the development and execution of QA and UAT protocols, proactively identifying and resolving data quality issues. • Support training and ongoing support to data users, enabling them to effectively utilize data solutions and tools. • Collaborate on the development of advanced analytics prototypes to drive strategic initiatives and business outcomes. • Maintain comprehensive documentation to support scalability and knowledge transfer across the organization.

• Collect, clean, analyze, and interpret data to support business decision-making and product optimization. • Develop Python scripts and SQL queries to automate data processing, reporting, and analytics workflows. • Contribute to the development and enhancement of internal analytics platforms and business applications by leveraging your understanding of front-end and back-end systems. • Assist in deploying and maintaining cloud-based data services and analytics applications. • Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and coordinate project milestones across stakeholders. • Document analytical methodologies, technical solutions, and project outcomes to promote knowledge sharing and continuous improvement.

Role Description We are seeking a mid-level SQL & ETL Developer to support offshore data operations and ensure the reliability of critical data pipelines. This role will focus on monitoring, maintaining, and enhancing ETL processes while collaborating closely with U.S.-based teams. - Monitor and support daily ETL processes to ensure successful and timely execution - Troubleshoot and resolve issues related to ETL workflows, data pipelines, and job failures - Work with SSIS packages and assist in transitioning ETL logic into SQL stored procedures - Develop, maintain, and optimize SQL queries, stored procedures, and data transformations - Collaborate with onshore teams to support data availability aligned with business timelines - Assist in evolving ETL processes toward Python-based solutions (training/upskilling supported) - Support data transformations within the SQL layer for downstream reporting tools - Contribute to data modeling efforts, particularly for reporting and analytics use cases - Follow development best practices and work independently within established standards - Participate in Agile ceremonies including standups, sprint planning, and retrospectives Qualifications - 3-5 years of experience in SQL development and ETL support - Strong SQL skills, including query writing, performance tuning, and stored procedures - Experience with ETL tools, preferably SSIS - Ability to monitor and troubleshoot batch data processes and pipelines - Understanding of data transformation and data modeling concepts - Ability to work independently in a support-oriented environment Preferred Qualifications - Exposure to Python for data processing (or willingness to learn) - Experience with Tableau, including understanding of data logic and reporting layers - Familiarity with Power BI and data modeling concepts - Experience transitioning ETL logic from tools (e.g., SSIS) into SQL or code-based solutions - Prior experience working in an offshore/onshore support model Work Environment & Schedule - Offshore support role with close collaboration with U.S. teams - Must be available to support ETL processes aligned with U.S. Eastern Time (ET) - Typical collaboration hours begin around: 11:00 AM PST / 2:00 PM EST - Participation in Agile ceremonies (standups, sprint planning, retrospectives) held twice weekly