Technical Lead Big Data Engineer (AWS)

Softserve

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Resumen

Support, maintain, and enhance an existing AWS-based data platform and data ingestion pipelines
Develop and optimize data processing workflows using Python, PySpark, Apache Spark, and AWS Glue
Monitor and troubleshoot data pipelines, ensuring reliability, performance, and data quality
Work with AWS services such as S3, Aurora PostgreSQL, Athena, Lambda, SQS, SNS, and EventBridge
Maintain and improve workflow orchestration using Apache Airflow
Support infrastructure and deployment processes using Docker, Terraform, and Amazon EKS
Apply software engineering best practices,…

5+ years of experience in Big Data or Data Engineering, including supporting production data platforms
Strong proficiency in Python, PySpark, and Apache Spark for large-scale data processing
Hands-on experience with AWS data services such as Glue, S3, Athena, Aurora PostgreSQL, and Lambda
Experience with Apache Airflow for data pipeline orchestration and scheduling
Strong knowledge of SQL, data ingestion, ETL processes, and data quality practices
Experience with Docker, Terraform, and CI/CD pipelines using GitHub Actions or similar tools
Familiarity with Python development and testing tools such as pytest, Pydantic, ruff, or mypy
Understanding of healthcare data regulations such as HIPAA/HITRUST, multi-tenant architectures, or data retention requirements is a plus
Readiness to travel to the United States for a three-month business trip in Q1 2027
Upper-intermediate or higher level of English, with strong communication and problem-solving skills

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