Senior/Lead Platform Data Engineer
Join our team working with the largest pan-European online car marketplace with over 1.5 million listings and 43,000 car dealer partners. Our client provides inspiring solutions and services that empower customers and deliver real value. As part of this dynamic project, you’ll play a key role in shaping and optimizing their data platform, leveraging modern tools and methodologies.
We are seeking a Senior/Lead Platform Data Engineer to join our team of experts. This role focuses on developing and maintaining a scalable data platform using cutting-edge technologies to meet the client’s evolving needs. The ideal candidate is a proactive problem-solver, passionate about working with complex data systems, and enjoys collaborating in an innovative and supportive environment.
Essential functions
Develop and maintain scalable data pipelines and integrations to manage increasing data volume and complexity.
Design and implement data contracts to streamline communication and dependencies between teams.
Build pipelines from scratch and on templates, utilizing modern tools and techniques.
Work with analytics and business teams to improve data models feeding business intelligence tools, fostering data-driven decision-making.
Implement and monitor systems ensuring data quality, governance, and accuracy for all production data.
Manage and enhance the data platform, incorporating technologies like Airflow, Glue Jobs, and data mesh principles.
Design data integrations and establish a data quality framework.
Define company data assets, document transformations, and maintain engineering wikis.
Collaborate with engineering, product, and analytics teams to develop and maintain strategies for long-term data platform architecture.
Troubleshoot and resolve data-related issues in production environments.
Qualifications
Expertise in AWS services, especially Glue, Athena, MWAA.
Proficiency in Python and SQL.
Experience with streaming platforms (Kafka or Firehose).
Experience with third-party solutions and APIs.
Would be a plus
Proficiency in data modelling techniques and best practices.
Experience in implementing data contracts.
Experience in applying data governance policies.
Experience with data quality frameworks (Great expectations, Soda).
Familiarity with the data mesh architecture and its principles.
We offer
Work on bleeding-edge projects on a team of experienced engineers
Flexible working hours
Specialization 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.
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