GCP Data Engineer

Impetus; Haryana; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Impetus Technologies in Gurgaon seeks an experienced Data Engineer with 4-7 years of hands-on Big Data experience focusing on building scalable data solutions on Google Cloud Platform (GCP). You will design and develop robust ETL pipelines and work with cross-functional teams to meet business needs.

The role requires strong PySpark, Python, SQL, and data warehousing skills, with experience in GCP services such as BigQuery and Dataflow.

Qualifications

• 4-7 years of hands-on experience with Big Data technologies.
• Proficiency in PySpark, Python, SQL, and data warehousing concepts.
• Strong communication and ability to collaborate across teams.

Responsibilities

• Design and develop robust and scalable ETL pipelines on GCP.
• Ensure code quality and performance by following best practices.
• Perform integration testing and troubleshoot pipeline issues across environments.
• Estimate efforts for development, testing, and deployment tasks.
• Participate in code reviews and provide feedback to maintain standards.
• Leverage GCP-native services to design cost-efficient data pipelines.

Skills

PySpark

Hadoop

Hive

Python

Bash

SQL

Data warehousing

Analytical thinking

Communication

Collaboration

Tools

Airflow

BigQuery

Dataflow

Dataproc

Cloud Storage

Pub/Sub

IAM

Job description

About the Organization-

Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth.

Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.

Locations-

Gurgaon

Job Summary:

We are seeking experienced Data Engineering professionals with 4-7 years of hands‑on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform (GCP).

Key Skills & Experience:

• Proven expertise in PySpark (DataFrame and SparkSQL), Hadoop, and Hive
• Strong programming skills in Python and Bash
• Solid understanding of SQL and data warehousing concepts
• Demonstrated analytical and problem‑solving abilities, particularly in data analysis and troubleshooting
• Innovative thinker with a passion for building efficient, scalable data solutions
• Excellent verbal and written communication skills, with the ability to work collaboratively across teams

Preferred/Good to Have:

• Experience with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and IAM
• Familiarity with Airflow or other orchestration tools
• Exposure to cloud migration projects (on‑prem to GCP or cloud‑to‑cloud)

Roles & Responsibilities:

• Design and develop robust and scalable ETL pipelines on GCP to meet business needs
• Ensure code quality and performance by adhering to development best practices and standards
• Perform integration testing and troubleshoot pipeline issues across environments
• Estimate efforts for development, testing, and deployment tasks
• Participate in code reviews and provide feedback to maintain high development standards
• Where applicable, design cost‑effective data pipelines leveraging GCP‑native services