Data Engineering Lead

Posted 11 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Artificial Intelligence • Big Data • Marketing Tech • Consulting
The Role
Lead and manage end-to-end data engineering projects: design and build data platforms, ETL/data pipelines, data lakes, streaming hubs, and ML training/scoring services. Collect requirements, ensure quality, troubleshoot, mentor team members, deliver technical training, and communicate with clients and stakeholders. Collaborate with consultants and data scientists in an agile environment.
Summary Generated by Built In

Metyis is growing! We are looking for a Data Engineering Lead with 7 -10 years of experience for a full-time position to join our Data and Analytics team in Bangalore.

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

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
  • 7-10 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

Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Skills Required

  • 7-10 years of professional hands-on experience
  • Broad practice in multiple software engineering fields
  • Experience managing and leading data engineering and data warehousing projects
  • Python
  • SQL
  • Experience with distributed programming languages
  • Spark
  • Experience working on cloud platforms
  • Azure
  • Experience setting up data lakes and working with Big Data and DWH ecosystems
  • Experience with data workflows and ETL
  • Apache Airflow
  • Comfortable with Unix-like OS, Bash and Linux
  • Basic knowledge of webservices and APIs
  • Basic knowledge of containers and Docker
  • Experience using version control and development/testing cycles
  • Git (GitLab or GitHub)
  • Knowledge of security practices
  • Familiarity with software development practices (Agile)
  • Strong focus on data processing and distributed data processing
  • Object-oriented programming and concepts of functional programming
  • Databases theory and practice
  • Enterprise data warehousing, business intelligence and ETL principles
  • Good written and oral communication skills in English
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The Company
HQ: Baar
776 Employees
Year Founded: 2013

What We Do

Metyis is a global firm that specializes in AI & Data, Digital Commerce, Marketing, and Design solutions, alongside advisory services. They focus on long-term partnerships to drive sustainable growth and performance for their clients through data-driven decision-making and integrated digital strategies, operating with a diverse, global talent pool across multiple international locations.

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