Metyis | Jobs | Data Engineer | BigDataKB.com | 27-03-22

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Job Location: Bangalore

We are looking for data engineers with relevant experience and a passion for data.


What we offer

  • Interact with C-level at our clients on regular basis to drive their business towards impactful change
  • Lead your team in creating new business solutions
  • Seize opportunities at the client and at Metyis in our entrepreneurial environment
  • Become part of a fast growing international and diverse team

What you will do

  • Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics.
  • Collect functional and non-functional requirements, consider technical environments, business constraints and enterprise organisations.
  • Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymisation pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
  • Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organisation where personal initiative is highly valued.
  • Share data engineering knowledge by giving technical trainings.
  • Guide and mentor team members.

What you will bring

A broad practice in multiple software engineering fields:

  • Must have experience on Python, SQL and Distributed programming languages,
  • preferable Spark
  • Experience working on Cloud, Azure is a plus
  • Experience working setting up data lakes using entire Big Data and DWH ecosystem
  • Experience on data workflows and ETL, Apache Airflow is a plus
  • Comfortable with Unix OS type systems, Bash and Linux
  • Basic knowledge of webservices and APIs
  • Basic knowledge of Containers and Docker as platform
  • Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
  • Knowledge of security practices
  • Software development practices (Agile)

A strong focus on data processing:

  • Object oriented programming
  • Data workflows, monitoring, architecture and security
  • Databases: theory and practice
  • Distributed data processing
  • Concepts of functional programming
  • Enterprise data warehousing, business intelligence and ETL principles
  • Good written and oral communication skills in English language

Apply Here

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