Hello Dear,

Great Chance.

This is also a Fixed Time Employment position (1 year duration) but directly on the payroll.

Location: - Gurgaon/Bangalore

Work Type: - Hybrid

Experience: - 4 years

Role Summary

We are seeking a mid-level Data Engineer with 3 years of hands-on experience in the data engineering space. In this role, you will be responsible for designing, building, and optimizing our data infrastructure. You will work heavily with Python, PySpark, and SQL to process large datasets and deploy solutions on cloud platforms [AWS / Azure]. If you are a problem-solver who loves turning raw data into clean, accessible, and actionable insights, we want to hear from you

Key Responsibilities

Pipeline Development: Design, build, and maintain robust ETL/ELT pipelines to ingest, clean, and transform large volumes of data from various sources.

Data Processing: Write clean, scalable, and efficient code using Python and PySpark for distributed data processing.

Database Management: Write advanced SQL queries, optimize database performance,



and assist in data modeling and architecture design.

Cloud Infrastructure: Deploy, manage, and scale data solutions utilizing cloud services on [AWS or Azure].

Data Quality & Architecture: Implement best data engineering practices to ensure data integrity, reliability, and security across the organization.

Cross-functional Collaboration: Work closely with Data Scientists, Analysts, and Software Engineers to understand data needs and deliver optimized datasets for analytics and AI/ML initiatives.

Required Qualifications (Must-Haves)

Experience: 3 years of proven, hands-on experience in a Data

Engineering role.

Programming Skills: Strong proficiency in Python, with deep knowledge of data manipulation libraries like Pandas.

Big Data Technologies: Extensive hands-on experience with PySpark for large-scale data processing.

Database Expertise: Advanced knowledge of SQL, relational databases, and data warehousing concepts.

📌 Sr. Data Engineer (Gurugram)
🏢 Shree Hr services
📍 Gurugram