Responsibilities
- Work with business partners and stakeholders to understand data requirements
- Work with engineering, product teams and 3rd parties to collect required data
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Develop and implement data quality checks, conduct QA and implement monitoring routines
- Improve the reliability and scalability of our ETL processes
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
Requirements
- 5+ years of professional experience
- 3+ years experience working in data engineering, business intelligence, or a similar role
- Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
- Proficiency in programming languages such as Python/Java
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- Expert in Database fundamentals, SQL and distributed computing
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
- Excellent communication skills and experience working with technical and non-technical teams
- Knowledge of reporting tools such as Tableau, Superset and Looker
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
Work Arrangement
On-site
Additional Information
- You must be located near one of our engineering hubs indicated above
