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Databricks Engineer

Publication Date:  Apr 13, 2024
Ref. No:  497348
Location: 

Timisoara, RO

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

 

 

Databricks Engineer


Your main responsibilities will be:

  • Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks

  • Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained

  • Working with other members of the project team to support delivery of additional project components (API interfaces)

  • Evaluating the performance and applicability of multiple tools against customer requirements

  • Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.

  • Integrate Databricks with other technologies (Ingestion tools, Visualization tools).

 

Knowledge, Skills and Abilities:

  • Proven experience working as a data engineer

  • Highly proficient in using the spark framework (python and/or Scala)

  • Extensive knowledge of Data Warehousing concepts, strategies, methodologies.

  • Programming experience in Scala or Python, SQL

  • Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).

  • Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics

  • Experience with ingestion tools (nifi/azure cloud factory

  • Experience with big data technologies (Hadoop)

  • Experience with ingestion tools (nifi/azure cloud factory

  • Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)

  • Databricks & Azure Big Data Architecture Certification would be plus

  • Must be team oriented with strong collaboration, prioritization, and adaptability skills required

 

  • Work experience: At least three years of experience designing and delivering data engineering solutions.

 

  • What we are offering: flexible work schedule, flexible workload, fixed income (according to the workload contracted), meal tickets, private healthcare, technical training.

 

 

Let’s grow together.

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