Data Engineer

6 hours ago

Mumbai, Maharashtra, India Hatchtra Innotech Pvt. Ltd. Full time US$ 1,50,000 - US$ 2,00,000 per year

We're Hiring: Senior Data Engineer (9+ Years Experience)

Locations: Pune | Mumbai | Gurgaon

Notice Period: Immediate Joiners or up to 15 Days

Open Positions: 6

About the Role:

Are you a seasoned Data Engineer with a passion for solving complex data problems and building scalable data infrastructure? We're expanding our team and looking for Senior Data Engineers with strong GCP expertise and a solid foundation in SQL, Python, and JavaScript.

Join a fast-paced, collaborative environment where innovation and excellence are rewarded. This is a great opportunity to make a meaningful impact by building data solutions that power real-time analytics and business decisions.

Key Responsibilities

Design, build, and optimize scalable data pipelines for ETL/ELT processes.

Handle structured and unstructured data at scale using modern tools.

Develop and maintain efficient SQL queries and scripts.

Write modular Python code for data ingestion, transformation, and automation.

Use JavaScript for custom data scripts or dashboard integrations.

Leverage GCP tools like BigQuery, Dataflow, Pub/Sub, and Cloud Functions.

Ensure data quality, governance, and integrity across systems.

Collaborate with Data Scientists, Product Managers, Analysts, and Engineers.

Troubleshoot and optimize performance bottlenecks in data workflows.

Maintain documentation of data systems and workflows.

Requirements

9+ years of experience in Data Engineering or similar roles.

Strong command of SQL for data transformation and performance tuning.

Proficiency in Python for automation and data processing.

Working knowledge of JavaScript.

Hands-on experience with Google Cloud Platform (GCP) – BigQuery, Dataflow, Pub/Sub, etc.

Solid grasp of data warehousing, ETL frameworks, and real-time processing.

Familiar with Git, CI/CD pipelines, and Agile methodology.

Excellent problem-solving skills and attention to detail.

Nice to Have

GCP Professional Data Engineer Certification.

Experience with DataOps/DevOps practices.

Familiarity with AWS or Azure cloud platforms.

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