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Big Data Engineer

We are looking for a passionate and experienced Big Data Engineer to design and develop data-centric solutions.
Job Description
You’re passionate about data and new technologies and have experience using them to deliver data-centric solutions. You ‘get’ Big Data and Cloud computing and you have experience in handling vast amounts of data – working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques.

You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Data Science team. You are equally comfortable talking to senior client stakeholders to understand their data as well as designing the ingestion process to store the data and prepare it for Data Analytics.
Requirements
  • Strong experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs) and Cloud (AWS and Azure)
  • Strong SQL experience, and optional Python / Scala / Java / R
  • Commercial client-facing project experience, including working in multi-disciplinary teams
  • A proven ability in clearly communicating complex solutions
  • Data security & governance expertise
  • Experience in traditional data warehousing / ETL tools
  • Exceptional attention to detail
Responsibilities
  • Design, develop and deliver scalable and high-performance data processing software using technologies such as Spark, Hive and Kafka.
  • Work proactively on the system architecture and participate in the evaluation and selection of right technologies
  • Support the business and product stakeholders by developing new and innovative data driven products
  • Work closely with Data Scientists to prepare data for machine learning and other analytic applications
  • In our agile environment you will collaborate with the product management team to incorporate the needs of our customers



Interested? Drop us a line using the link below.

Sounds interesting?

Get in touch now and we can schedule a free, one hour, consultation. No strings attached.

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