GCP Data Engineer

Data Engineer (3–5 Years)

Experience: 3–5 Years

Location: Noida / Surat

Employment Type: Full-time

Job Description

We are looking for a talented Data Engineer with 3–5 years of experience to build and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience with PySpark, Python, SQL, Google Cloud Platform (GCP), BigQuery, Apache Airflow, and Data Warehousing concepts. As a Data Engineer, you will collaborate with cross-functional teams to develop high performance data solutions that support analytics, reporting, and business intelligence initiatives.

Roles & Responsibilities

Develop, maintain, and optimize ETL/ELT pipelines using PySpark and Python. Design and implement scalable data processing solutions on Google Cloud Platform (GCP). Build and optimize datasets using BigQuery. Develop and schedule data pipelines using Apache Airflow. Write efficient SQL queries for data extraction, transformation, and reporting. Design and implement data warehouse solutions and data models. Ensure data quality, integrity, security, and governance across the data ecosystem. Troubleshoot and optimize data pipelines for performance and scalability. Collaborate with Data Analysts, Data Scientists, and business stakeholders to deliver data-driven solutions. Participate in code reviews, testing, deployment, and production support.

Required Skills

3–5 years of experience as a Data Engineer. Strong hands-on experience in…

Skills

• GCP
• Python
• SQL
• Airflow
• Git