Senior Data Engineer/Data Analyst

• Work with Salesforce objects and relationships to ensure correct ingestion, transformation, and integration into our reporting environment
• Design, build, and maintain data pipelines using Apache Airflow (DAG creation, scheduling, monitoring, troubleshooting)
• Write, optimize, and maintain SQL queries, stored procedures, and functions for data transformation and extraction
• Create and manage database views to support analytics, reporting, and downstream applications
• Ensure data quality, consistency, and reliability across pipelines and views (validation checks, monitoring)
• Support QuickSuite dataset adjustments (new fields, logic changes, view extensions)
• Document data flows, data models, and pipeline logic for long-term maintainability and handover

• 4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting
• Strong SQL skills (joins, window functions, performance tuning)
• Production experience with Apache Airflow
• Python skills for pipeline development
• Ability to build and maintain database views (PostgreSQL, Snowflake, Redshift)
• Familiarity with Salesforce data structures
• Solid ETL/ELT understanding
• Clear communication with non-technical stakeholders
• GitHub experience (branches, PRs, reviews)
• English level - at least Upper-Intermediate, both spoken and written

Experience with BI/reporting tools (e.g., QuickSuite, Power BI, Looker)

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits