Data Engineer Analyst

Description: Design, build, and maintain scalable data pipelines and ingestion frameworks for batch processing, streaming, and CDC patterns. Develop and optimize data processing workflows using Apache Spark and PySpark. Implement and manage data lake architectures on AWS, utilizing S3 and Apache Iceberg. Work with AWS services like Glue, Athena, and Lambda for data processing and querying. Manage data access controls and security configurations using AWS IAM. Collaborate with data analysts, scientists, and engineers to deliver production-ready solutions. Monitor pipeline health and troubleshoot data quality issues. Document data flows, architecture decisions, and engineering standards. Requirements: Advanced experience with AWS services (Glue, S3, Athena, IAM). Proficiency in Apache Spark/PySpark for data processing. Knowledge of data lake architectures and Apache Iceberg. Familiarity with data ingestion patterns and SQL for querying. Understanding of data modeling and large-scale data processing. Ability to communicate technical concepts to non-technical stakeholders. Experience with infrastructure-as-code or pipeline orchestration tools is a plus. 2+ years of experience in Data Engineering or related roles. Advanced English proficiency required. Benefits: Christmas Bonus, Saving Fund, Food/grocery vouchers, Home Office allowance. MetLife Life and Medical Insurance with optional dependents coverage. Vacation days with annual increases, vacation premium, and official holidays. Flexible working options for work-life balance. Learning opportunities including study plans and English lessons.