Senior Data Engineer - Lakehouse & Pipelines Expert

Taskus India; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Taskus India is seeking a Senior Data Engineer to architect and operate resilient data pipelines in a Lakehouse environment. You will translate architects' blueprints into production-grade code, delivering clean, high-fidelity data for analytics and decision making.

You will own pipeline engineering, use dbt and PySpark, implement data SLAs, and collaborate with BI and data science teams to produce feature-ready datasets, while optimizing SQL and Spark plans to reduce cost and latency.

Qualifications

• 6+ years of data engineering experience required.
• Proficiency in Python, SQL, and PySpark.
• Experience with modern lakehouse stack (Databricks or Snowflake).
• Strong skills in dbt, CI/CD, and data modeling.

Responsibilities

• Build and maintain high-throughput ETL/ELT pipelines to the Lakehouse.
• Drive data quality with data SLAs and observability.
• Collaborate with BI and data science teams to produce feature-ready datasets.
• Optimize SQL and Spark plans to reduce cost and latency.

Skills

Data Engineering

Python

SQL

PySpark

Databricks

Snowflake

dbt

Terraform

Airflow

Kubernetes

Tools

DuckDB

Kubernetes

Airflow

Databricks

Snowflake

Kafka

dbt

Terraform

Job description

Taskus India is seeking a Senior Data Engineer to architect and operate resilient data pipelines in a Lakehouse environment. You will translate architects' blueprints into production-grade code, delivering clean, high-fidelity data for analytics and decision making.

You will own pipeline engineering, use dbt and PySpark, implement data SLAs, and collaborate with BI and data science teams to produce feature-ready datasets, while optimizing SQL and Spark plans to reduce cost and latency.