Senior Data Engineer
TaskUs (company site, opens in a new tab)5+ yrsNoidaOn-siteDirect career pageEst. 14–26 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain high-throughput ETL/ELT pipelines using modern lakehouse technologies (Databricks, Snowflake).
- Implement monitoring, alerting, and Data SLAs to ensure pipeline reliability and data quality.
- Collaborate with BI and Data Science teams to prepare feature-ready datasets and optimize query performance.
Minimum Requirements
- 5+ years of experience in Data Engineering with hands-on expertise in Python, SQL, and PySpark.
- Proficient in modern data stack tools: dbt for transformation, Databricks or Snowflake for lakehouse architecture.
- Experience with orchestration tools such as Apache Airflow or Prefect.
- Work Experience Required: 5+ years in Data Engineering. Remote work mode.
Ideal Candidate Profile
- Strong operational focus on building resilient, self-healing data pipelines with strict CI/CD practices.
- Experienced in hybrid compute models balancing heavy jobs (PySpark/Databricks) and lightweight local executions (DuckDB).
- Familiar with cloud infrastructure automation (Terraform/CloudFormation) and container orchestration (Kubernetes).