Data Engineering Lead
At a glance
Senior Data Engineering role at Metyis AG. Gurgaon · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Run data engineering projects end to end, turning client business challenges into technical solutions
- Build data platforms with ETL and anonymization pipelines, data lakes, streaming hubs, web services and machine-learning workflows
- Gather business and technical constraints, then design solutions for marketing, ecommerce, BI and self-service analytics
- Review teammates’ work, resolve issues and check quality while coaching the team and sharing technical training
- Work with clients, partners, consultants and data scientists, including executive-level conversations
What you bring
- You have seven to ten years of hands-on experience, including leading data engineering or warehousing projects
- You bring practical experience across software engineering, with Python, SQL and distributed programming required
- You have built data lakes and worked with ETL workflows; cloud, Azure, Spark and Airflow experience are valued
- You can use Unix-based systems and understand APIs, containers, version control, testing, security and agile development
- You communicate well in written and spoken English
Who this fits
This role suits a senior hands-on engineer ready to lead project delivery, guide teammates and work directly with client executives. It is a full-time hybrid position in Gurgaon.
From the employer
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 Gurgaon.
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
We are united by our differences
At 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.
Recruitment Disclaimer
Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.