Data Engineer
Build resilient ETL/ELT pipelines and data products.
What You'll Do
Build resilient ETL/ELT pipelines and data products that fuel analytics, ML, and reporting experiences.
Your Impact
Here's what you'll be responsible for in this role
Implement batch, micro-batch, and streaming jobs with rich data contracts
Manage structured and unstructured data stores ensuring quality and lineage
Automate schema validation, reconciliation, and backfill workflows
Collaborate with platform leads on scaling storage and compute layers
Continuously improve documentation, observability, and runbooks
What We're Looking For
- 3–6 years in data engineering roles
- Proficiency in SQL, Python/Scala, Spark, Airflow, and cloud warehouses
- Understanding of metadata management, testing, and DevOps principles
- Experience working with both transactional and analytical data sets
- Strong problem-solving and communication skills
What We Offer
We believe in taking care of our team members
Apply for Data Engineer
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Data Engineer
Data Platform
Key Skills
Application Tips
- Keep your cover letter under 600 words
- Highlight measurable achievements
- Tailor skills to match the job description
- Upload a PDF resume for best results
What happens next?
- 1Application review (3–5 days)
- 2Technical / culture screening call
- 3Final interview round
- 4Offer & onboarding