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Urgent! Data Engineering Lead Job Opening In Bengaluru – Now Hiring Metyis

Data Engineering Lead



Job description

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


  • Independently lead & manage execution of data engineering projects
  • 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 organizations
  • Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
  • Troubleshoot and quality check work done by team members
  • Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organization where personal initiative is highly valued
  • Share data engineering knowledge by giving technical trainings
  • Communicate and interact with clients at the executive level
  • Guide and mentor team members
  • What you will bring


  • 7- years of professional hands-on experience
  • A broad practice in multiple software engineering fields
  • Experience on managing & leading data engineering / warehousing projects
  • 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

  • Required Skill Profession

    Computer Occupations



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