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Data Engineer

Full time (40 hrs/week) Remote ASAP

Remote | India

Experience
3+ Years
Location
Remote
Employment Type
Full time (40 hrs/week)
Start Date
ASAP

About the Role

Build and maintain production-grade data pipelines and data platforms using Python and Java, working with large datasets, cloud infrastructure, and data warehouses to deliver reliable and scalable data solutions.

  • Build and maintain ETL/ELT pipelines using Python and Java
  • Develop data ingestion and transformation workflows from multiple sources
  • Design and optimize data models and data warehouse solutions
  • Process large datasets using Spark or PySpark
  • Monitor, troubleshoot, and improve pipeline performance and reliability
  • Collaborate with engineering, analytics, and product teams

What You'll Need

  • 3+ years of professional Data Engineering experience
  • Strong professional experience with both Python and Java
  • Advanced SQL and strong understanding of relational databases
  • Hands-on experience with ETL/ELT and data pipeline development
  • Experience with Spark/PySpark and Airflow or similar orchestration tools
  • Production experience with a cloud platform and data warehouse

Our Culture (aka, the good stuff)

We're a close-knit crew.

More family than coworkers. We win together, celebrate together, and have each other's backs.

Respecting your time.

Clear scopes, realistic timelines, and zero time-waste. We value your time as much as you do.

Entrepreneurial at heart.

We move fast, take ownership, and aren't afraid to build, break, learn, and build again.

Low ego, high impact.

Great ideas come from anywhere. We listen, respect, and lift each other up.

Built to last.

Low attrition, high trust. People stay because they love the work and the people.

Let's build great things together.

Tell us a bit about yourself and your experience. We'll get back to you soon.

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