Data Engineer
About Xebia
Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.
Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.
No. of positions: 2
Mode of working: Hybrid (3 days from office)
Location: Gurgaon
Exp : 4 to 12 Yrs
Roles and Responsibilities:
Development of data platforms, integration frameworks, processes, and code.
Develop and deliver APIs in Python.
Strong expertise in Snowflake and MS SQL.
Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.
Elaborate stories in a collaborative agile environment (SCRUM or Kanban)
Familiarity with cloud platforms like GCP/AWS/Azure.
Proven experience in designing and implementing robust data pipelines.
Experience with large data volumes.
Familiarity with writing rest-based services.
Experience with distributed processing and systems
Experience with relational database management systems (RDBMS)
Experience with Data Flow development
Knowledge of Agile and associated development techniques including:
o Iterative Development
o Refactoring
o Unit Testing
o Continuous Integration and Delivery
o Acceptance Test Driven Development
o Knowledge of formal testing and deployment methods from conception
Apply for this job
*
indicates a required field