Big Data Engineer
We are looking for a Big Data Developer (Scala, Spark, AWS) to work on a hands-on project involving data ingestion, ETL pipelines, and metadata management. This role offers the opportunity to gain practical experience with cutting-edge technologies and grow within a dynamic engineering team.
Essential functions
Develop, optimize, and maintain Big Data solutions using Scala and Spark
Design and manage ETL pipelines, ensuring efficient data processing and integration
Work with cloud-based services to support scalable and reliable data workflows
Implement and maintain data ingestion processes, including validation and transformation
Collaborate with cross-functional teams to enhance data infrastructure and analytics capabilities
Monitor data integrity, performance metrics, and system reliability
Contribute to metadata management, schema registries, and data governance practices
Continuously learn and apply new technologies to improve data engineering processes
Qualifications
Proficiency in Scala with experience in Big Data processing frameworks like Apache Spark
Hands-on experience with ETL development, data ingestion, and pipeline management
Familiarity with cloud services (AWS preferred) and infrastructure for Big Data solutions
Experience with workflow orchestration tools (Airflow or similar)
Understanding of metadata management and schema registries
Basic knowledge of distributed systems and data storage solutions
Strong problem-solving skills and ability to work in a collaborative environment
Eagerness to learn new technologies and improve engineering best practices
Would be a plus
Experience with Python and/or Java for data processing and scripting
Knowledge of Snowflake, Docker, Kubernetes, Helm, and PostgreSQL
Familiarity with data visualization tools such as Superset or Tableau
Hands-on experience with AWS services (EKS, IAM, S3, SNS, SQS, MSK, etc.)
Understanding of Big Data concepts, distributed computing, and data governance
We offer
Work on bleeding-edge projects on a team of experienced and motivated engineers
Flexible working hours
Specialisation courses
24 days annual leave + an additional of 5 sick days
Floating Holidays
Private medical subscription for employees and their family members
Benefits basket with the total value of 650 euro/year
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
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.
Get in touch
Let's connect! How can we reach you?
Thank you!
It is very important to be in touch with you.
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 again after some time.