Big Data Engineer

Website European Recruitment

▪ Ingest the data captured from various sensors as well as from external world into the big data ecosystem
▪ Perform the data quality checks on the input data and publish the results
▪ Transform the data into various ecosystem formats as required by various AD feature teams
▪ Transform the data and suitably encrypt it to make it available to external world
▪ Perform extensive data search on various aspects of data quality, data transformation, data storage, data security, data access and so on
▪ Perform the data backup and archival activities
▪ Monitor and tune the performance of the individual module and overall system
▪ Work on end-to-end automation of various work flows
▪ Adhere to various best practice and standards

Required Skills:
▪ Experience with Hadoop and its ecosystem in design, development and implementation.
▪ Strong experience in working on Apache spark using Scala.
▪ Insights into data search (Solr/ Elasticsearch) and data processing in Hadoop/ Big data environment.
▪ Writing high-performance, reliable and maintainable code in languages like Scala and Python.
▪ Track record of working on perform analysis of vast data stores and uncover insights while maintaining the security and data privacy.
▪ Exposure to automotive domain will be an added advantage.

Desirable skills:
▪ A computer science or equivalent degree from a reputed institute
▪ At least 4-5 years of experience in the big data domain
▪ Ability to mentor and lead a small team
▪ Proven ability to learn and adopt new technology
▪ Proficient understanding of code versioning tools like Git, build tool like Maven, CI/CD tool like Zuul or Jenkins and Ansible
▪ Knowledge of Agile methodology for delivering software solutions


Keywords: Bog Data / Hadoop / Embedded / Apache spark / Scala / Python / Git / Maven / CI/CD / Zuul / Jenkins / Ansible / Agile / Automotive 


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Categories: Automotive

  Salary: Negotiable

  Location: Munich, Germany

  Job type: Permanent, Full Time