Senior Data Engineer

About the Team

Data is at the foundation of client success. The Data Engineering team builds database solutions for various use cases including reporting product analytics marketing optimization and financial reporting. By implementing pipelines data structures and data warehouse architectures; this team serves as the foundation for decisionmaking at the client.

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 largescale highvolume highperformance 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 highquality trustworthy data
• Help onboard and support other engineers as they join the team

Requirements:

• 3 years of professional experience working in data engineering business intelligence or a similar role
• 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 Distributed data/similar ecosystems (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 nontechnical teams
• Knowledge of reporting tools such as Tableau Superset and Looker
• Comfortable working in a fastpaced environment selfstarter and selforganizing
• Ability to think strategically analyze and interpret market and consumer information

English: UpperIntermediate

Location: EU (Poland preferable)

Overlap: till 10 pm CET