We are looking for a Data Engineer to join our Data Platform team, focusing on building scalable data pipelines and enabling analytics across the organization.
Requirements
- At least 6 years of experience in Data Engineering
- Strong understanding of data architectures such as Data Lake, Data Warehouse, and Lakehouse
- Hands-on experience with ETL/ELT pipelines, including batch and streaming processing
- Experience working with Databricks (Delta Live Tables, Jobs, Notebooks)
- Strong skills in PySpark or Spark SQL for large-scale data processing
- Experience with Apache Airflow (DAGs, scheduling, monitoring)
- Experience with Airbyte or similar ingestion tools
- Strong SQL skills (CTEs, joins, window functions, query optimization)
- Experience with dbt for transformation, testing, and documentation
- Hands-on experience with AWS (S3, Lambda, IAM, etc.)
Benefits
- Attractive salary range
- Flexible hours
- Async teamwork
- Work equipment support
- Allowance for Certification & Skill Development
- Year-end bonus & performance-based rewards
- 22 paid leaves from your 5th year
Originally posted on Himalayas