Senior Data Engineer

About the Role

We are looking for a

Senior Data Engineer

with strong hands-on experience in

Databricks, GCP, and Data Pipeline Development . The ideal candidate will have a deep understanding of

data architecture, automation, and cloud deployment

practices, along with a passion for building scalable and efficient data solutions.

Key Responsibilities

Design, develop, and optimize scalable

data pipelines

using

Databricks (PySpark, SQL) .

Manage and implement

Unity Catalog

for data governance and security.

Develop and maintain

infrastructure as code

using

Terraform

for GCP-based data platforms.

Implement and maintain

CI / CD pipelines

for continuous integration and deployment.

Work with

GCP services

such as

Cloud Build, BigQuery, Firestore , and others to design robust data solutions.

Collaborate with cross-functional teams (Data Scientists, Analysts, DevOps) to deliver high-quality data solutions.

Ensure best practices in data quality, performance, and reliability.

Required Skills

Databricks

– Expert hands-on experience

Unity Catalog

– Strong understanding and implementation experience

PySpark

– Advanced proficiency in writing and optimizing Spark code

SQL

– Strong command over complex queries and data transformations

Terraform

– Hands-on experience in infrastructure automation

CI / CD Pipelines

– Experience setting up and managing data deployment pipelines

GCP Services

– Hands-on experience with

Cloud Build, BigQuery, Firestore , etc.