Data Engineer

4 months ago

Delhi, India Xebia Full time

About Xebia:


Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 5,000 professionals working on a worldwide ambition.

We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Security, Low Code, and Microsoft Solutions.

We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.


Experience- 6 to 10 years

Location- Gurgaon, Bangalore, Pune, Chennai, Hyderabad, Jaipur


JD below:

Data Processing on Azure: Azure Data Factory, Streaming Analytics, Event Hubs , Azure Databricks, Data Migration Service, Data Pipeline.

  • Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, ADW etc.
  • In-depth understanding of database structure principles.
  • Experience in DevOps, azure Devops , Jenkins , airflow , azure monitor good to have.
  • Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.
  • Distributed Data Processing of big data batch or streaming pipelines (kafka or similar)
  • Familiarity with data visualization tools (e.g. PowerBI, Tableau etc.)
  • Data Modeling , Data structure & strong analytics skills.
  • Problem-solving attitude
  • Highly self‐motivated, self‐directed, and attentive to detail
  • Ability to effectively prioritize and execute tasks.

Additional Information

  • We would like to see a blend of the following skills, not all of these are required, however Databricks and Spark are highly desirable:
  • Azure SQL Data Warehouse
  • Azure Data Factory
  • Azure Data Lake
  • Azure Analysis Services
  • Databricks/Spark
  • Python
  • Data Modelling

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