Data Engineer Lead

What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Our Partnerships

• Amazon Web Services
• Google Cloud
• Astronomer
• Databricks
• Kaszek
• Product Minds
• H2O.ai
• Soda

Our values

• We are Data Nerds
• We are Open Team Players
• We Take Ownership
• We Have a Positive Mindset
Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!

Responsibilities

• Collaborate with the team to define goals and deliver custom data solutions.
• Innovate with new tools to improve infrastructure and processes.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end, working directly with clients.
• Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design.
• Lead data pipeline development and guide technical decisions.
• Act as a liaison between the team and stakeholders, ensuring alignment.
• Foster team autonomy while ensuring smooth collaboration.
• Contribute to technical research and stay ahead of solutions for future projects.
• Focus on code quality—review, document, test, and integrate CI/CD.
• Participate in candidate interviews and evaluations to help Mutt grow.

Required Skills

• Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
• Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
• Experience in Data Engineering, including building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Experience working with any cloud (AWS, GCP, Azure).
• Knowledge of Docker.
• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with ETL processes and automation.

Nice to Have Skills

• Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
• Knowledge of Kubernetes.
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).

Perks

• Remote-first culture – work from anywhere!
• AWS Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! ️)
• Referral bonuses – help us grow the team get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️ ️ Annual Mutters' Trip – an unforgettable getaway with the team!

Originally posted on Himalayas