Grid Dynamics recognized as Google Cloud leader by Everest Group

Data Engineer

Bucharest, Romania
About us:  
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.  
Key Responsibilities 
  • Participate in design and development of Big Data analytical applications from product vision to implementation.
  • Design, support and continuous enhancement of project code base, continuous integration pipeline, etc.
  • Investigation and resolution of performance and stability issues in production systems
  • Work inside the team of software and DevOps engineers
  • Collaboration with global distributed team, corporate and customer’s IT services
Key Requirements 
  • Minimum of 3 years of experience in data engineering with exceptional skills in Python 
  • Good knowledge of SQL and experience working with large datasets and relational databases 
  • Hands on experience with data processing technologies, ETL processes and feature engineering 
  • A track record of developing scalable pipelines and delivering data promptly in a collaborative team environment 
  • Experience in GCP cloud services 
  • Good mentoring and coaching skills 
  • Good client facing skills 
Will be a plus 
  • Experience with Teradata, Informatica MDM, IBM DataStage, IBM DB2
We offer:  
  • Work on bleeding-edge projects on a team of experienced and motivated 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 gross

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