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Data Engineer - Playtech
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and warehouses using Python, SQL, Spark, and AWS services to support analytics and business intelligence.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into a centralized data warehouse.
- Optimize data models and queries for performance, ensuring high availability and reliability of data services.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver actionable insights.
- Implement data quality checks, monitoring, and alerting to maintain data integrity across the platform.
- Leverage AWS services (S3, Redshift, Glue, EMR) and Spark to build scalable, cloud-native data solutions.
Requirements
- Proven experience as a Data Engineer or similar role, with strong proficiency in Python and SQL.
- Hands‑on experience with ETL tools, data warehousing concepts, and big data technologies such as Apache Spark.
- Solid understanding of cloud data platforms, preferably AWS, and related services.
- Strong analytical skills and ability to translate business needs into technical solutions.
- Excellent communication skills and a collaborative mindset.
Skills
pythonsqlapache sparkaws