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NTT DATA Romania SA

Senior Data Engineer

NTT DATA Romania SA Cluj-Napoca, Romania

IT Services and IT Consulting · 10,001+ employees

23 h ago
data-engineer Senior (5-10 yrs) Full-time Romania
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About the role

Develop and maintain complex data transformations using Python and SQL on AWS and Snowflake platforms. Collaborate with the team to implement cloud-based data architecture, reporting portals, and data quality monitoring mechanisms.

What they look for

Python AWS Snowflake SQL PySpark Pandas API Development PostgreSQL DynamoDB Docker Kubernetes CI/CD Data Modeling Agile Data Engineering Amazon QuickSight

Requirements

Requires a university degree in Engineering, Computer Science, or a related field with 5-7 years of professional experience. Candidates must possess strong skills in Python, AWS data engineering stacks, API development, and database management.

Full description

What awaits you

  • Develop and maintain medium / complex transformation of data with Python on AWS platform
  • Design and implement SQL-based data transformations in Snowflake
  • Collaborate with the team to evaluate and implement cloud-based data architecture solutions
  • Make part of team wo implement a Reporting Self Service Portal to enhance the data analysis and reporting capabilities of Production data.
  • Troubleshoot and optimize data processing workflows
  • Contributes to the development of data quality monitoring and alerting mechanisms
  • Participate in code reviews and knowledge sharing within the team
  • Provide technical documentation and support for the business stakeholders

What should you bring along

  • University Degree in Engineering, Computer Science, Business or a related field
  • Minimum of 5 - 7 years professional work experience
  • Degree in business informatics, information systems, or a related technical field
  • Proven experience in data integration, data analysis, or a similar technical role
  • Knowledge Python programming skills focused on data transformation (Pandas) and or distributed data processing (PySpark)
  • Knowledge and practical experience on Amazon Data Engineering stack (EC2, Lamda, S3, Elastic Container Registry, Step Functions, AWS Glue)
  • Experience with API’s focus on ability to design, build, and scale RESTful and/or Graph QL APIs for high performance and availability
  • Experience of working with databases like PostgreSQL. NoSQL (DynamoDB)
  • Enforce engineering best practices within the team, promoting code quality, testing, and efficient development workflows, CI/CD improvements on AWS cloud
  • Basic / medium knowledge on Containerization with Docker, Kubernetes
  • Strong communication skills with technical and non-technical audiences
  • Basic knowledge of reporting tools like Amazon QuickSight
  • Experience as part of an international agile organization with a strong understanding of agile development (work in Jira/Confluence)
  • Data modeling and profiling (knowledge about relational and dimensional data models)
  • Nice to have skills: Angular (or understanding the basics of web development), Amazon infrastructure capabilities
  • Strong verbal, written, presentation, and communication skills in English
  • Knowledge of German is an advantage
  • Team player, target-oriented, and able to work independently with little instruction
  • Flexibility to adapt to new tools, technologies, and evolving business requirements

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