Are you a skilled Data Engineer ready for a new challenge? Look here!

Capgemini Engineering offers you a work environment branded by innovation. You will be working with the cutting edge of R&D, surrounded by dedicated and skilled colleagues with high expertise. We offer a platform for taking leaps in your career and provide the chance to work in many different industries due to our large variety of clients and assignments.Are you interested in an international career? We exist all over the world and have opportunities for you to work abroad.

As a consultant at Capgemini Engineering you will have a great opportunity to influence your own career path and skill set according to your own personal goals. Your will either be a part of our local projects or any of our global commitments together with colleagues around the world.

Our team in Gothenburg is looking forward to see you as their new colleague!

Your role & prole

We are now looking for skilled Data Engineers with knowledge in AWS Stack – experience in Big Data and AWS Cloud (S3, Redshift, Glue, Lambda, Hadoop/EMR, Hive, Kinesis, Sqoop, Spark ) OR Azure Stack – experience in Azure Cloud: Azure DataFactory, Azure Storages, Azure Delta Lake, Azure Active Directory, Azure Data Lake Storage and Azure Databricks.

To be successful in the role we preferably see that you have the following knowledge:

- Experience in data modelling, ETL, development and data warehousing

- Experience with data warehousing, and with big data technologies and languages like Python, R, SQL, and Scala, SQL and NoSQL databases, the AWS Cloud or MS Azure Databricks, or GCP

- Hands-on experience on components of Hadoop Ecosystem like HDFS, Hive, Spark, Sqoop, Map Reduce and YARN or any similar Cloud Tool Set or Environment.

- Experience in any of NoSQL technologies (Hbase, Cassandra, MongoDB, CosmosDb, AmazonDynamoDB etc.) and streaming technologies (Kafka, Spark Streaming, Storm etc.)

- Experience with Java or Scala (Must have)

- Experience with the Python programming language and PySpark API

- Experience with Linux OS, any distribution (would be considered a plus)

- Experience with Databricks (would be considered a plus)

- Experience of Agile and DevOps. (would be considered a plus)

- Experience building predictive models, and create machine learning algorithms in any of cloud environments (would be considered a plus)

Is this you? Perfect, we are looking forward to meeting you!

Application and contact

Selection and interviews are running instantaneously as the start is immediate/flexible. Make sure to apply shortly as the role might be assigned before the end of the application time span. If you have any questions regarding the job opening or your application, please contact Talent Acquisition Partner Vanessa Rönnholm, [email protected].