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Technical Lead Big Data Engineer (AWS)

SoftServe · Remote · Get on Board

PythonNegotiableFreelanceAny country · Remote

This job is open to candidates from any country. Work model: Remote

About the job

Requirements

  • 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

Responsibilities

  • 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, including automated testing, code quality checks, and CI/CD processes
  • Utilize AI-assisted development tools such as Claude Code to support implementation, testing, and code reviews
  • Collaborate with remote engineering teams to resolve technical issues, implement improvements, and ensure platform stability
  • Support data security, governance, and compliance practices within a regulated healthcare environment

Some of our benefits

  • SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
  • Medical insurance: Health coverage for you and your family
  • Food vouchers: Additional support for your everyday expenses
  • Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance
  • Dare to Care: Our holistic well-being program, designed to support your overall wellness
  • Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

Main requirements

PythonSparkBig DataAWS GlueAirflowSQLTerraformCI/CDAWS S3Docker

Application

Posted 6 days ago

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