Big Data Engineer
We are looking for a skilled Big Data Engineer to join an exciting data-driven project. You will work on building robust, scalable data pipelines and delivering high-performance data solutions for enterprise customers in a Google Cloud environment using tools like Spark, Flink, Airflow, and Dremio.
Essential functions
Design and implement scalable data pipelines
Analyze and develop complex features with minimal supervision
Model data structures to support business requirements
Write efficient and maintainable code in Java or Python
Implement batch and stream processing using Spark and Flink
Automate data workflows using Airflow and CI/CD tools (e.g., Jenkins)
Collaborate with stakeholders and perform functional analysis
Optimize system performance and data reliability
Contribute to documentation and system design
Work within agile methodologies and use tools like Jira, Bitbucket, etc.
Qualifications
Bachelor’s degree in Computer Science, Computer Engineering or similar
2–3 years of experience as a Data Engineer
Strong knowledge of SQL, Apache Spark, Airflow, and PostgreSQL
Hands-on experience with streaming tools (preferably Flink)
Proficiency in Java or Python
Experience with CI/CD (e.g., Jenkins), version control (Bitbucket), and branching strategies
Knowledge of at least one major cloud provider (preferably Google Cloud)
Understanding of functional requirements and ability to work independently
Familiarity with data warehousing and Dremio
Strong analytical and communication skills
Team player attitude
Would be a plus
Experience with DataMesh architecture
Familiarity with Dremio
Experience working in Agile teams
Exposure to Docker or Kubernetes
Previous consulting/client-facing experience
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
Information on personal data processing
You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”
Applications for this job are no longer accepted. Please explore other open opportunities on our platform.
Thank you!
You applied for the position Big Data Engineer successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
RetrySomething went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
RetryDon’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.