
Senior Data Engineer (GCP)
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Data Engineer (Google Cloud Platform) to build reliable ETL and ELT pipelines and optimize SQL and orchestration in Apache Airflow. You will partner with clients and delivery teams to improve quality, performance, and operational stability across cloud data platforms.
Responsibilities
- Design and build scalable ETL and ELT pipelines using Python, SQL, Big Query, and cloud-native services
- Develop and optimize complex SQL for transformation, validation, troubleshooting, and performance
- Create and maintain data models and warehousing solutions that support quality, availability, and scale
- Orchestrate workflows in Apache Airflow, including scheduling, monitoring, and incident resolution
- Support pipeline delivery and platform operations across Google Cloud Platform and Amazon Web Services (AWS)
- Improve CI/CD, source control, and automated deployment practices for data solutions
- Investigate data, integration, and infrastructure issues, driving root-cause analysis and fixes
- Collaborate with clients and cross-functional teams to clarify requirements, risks, dependencies, and delivery plans
Requirements
- Hands-on experience building ETL and ELT pipelines and supporting data warehousing
- Advanced SQL skill set including optimization, data validation, and complex transformation
- Python proficiency for pipeline development and software engineering practices
- Experience with distributed processing using PySpark or Apache Beam
- Practical cloud experience with Google Cloud Platform and/or Amazon Web Services (AWS) for data workloads
- Workflow orchestration background with Apache Airflow or Google Cloud Composer
- Knowledge of data modeling, data lifecycle management, and data quality controls
- Clear communication with the ability to explain trade-offs, risks, and solution options to stakeholders
Nice to Have
- Infrastructure-as-code exposure using Terraform and/or Kubernetes
- Streaming familiarity with Kafka and event-driven patterns
- Data integration tooling experience such as Fivetran
We Offer
By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022 & 2023. Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters. You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices. We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey. At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.
About the Company
EPAM is a globally recognized technology services and product development company. We are committed to delivering high-quality software solutions and fostering a collaborative and innovative work environment.
© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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