Senior Data Analytics Engineer

• Write production-grade Redshift, Athena, and MySQL queries to transform events into metrics
• Validate query logic against business use cases
• Create and implement validations for data quality
• Collaborate across teams to gather requirements and understand reporting requirement
• Look into metric inconsistencies and data anomalies
• Debug and optimize queries for other departments
• Examine schema changes across engineering teams
• Maintain high-quality metrics and data stream documentation
• Contribute to the data engineering platform and tooling
• Integrate reporting tables into Sisense models to facilitate reporting
• Manage and maintain Airflow ETL jobs
• Participate in the on-call rotation to keep pipelines up and running
• Work with a sense of ownership, be adaptable, and can receive/apply constructive feedback

Job Requirements:

• Bachelor s/Master s degree in Information Technology, Applied Mathematics, Actuarian or Statistics (or equivalent experience)
• 5+ years of relevant experience as a data analytics engineer is required
• 2+ years of SQL experience is required
• Analytical data modeling requires a strong grasp
• Knowledge of at least one SQL variant
• Familiarity with Redshift, Athena, and MySQL
• Strong analytical skills and expertise with data validation
• Experience with some data orchestration technology, such as Airflow, dbt, or Oozie
• Previous experience in a data analyst role
• Extra experience in data engineering or data architect role is a plus
• Experience with A/B testing, anomaly detection, or complex event processing
• Being passionate about joining an engineering team
• Fluency in English language