Data Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title :Data Engineer

Key Skills :Data Engineer , Python , PySpark/Spark, SQL, AWS

Job Locations : Pan India

Experience : 10

Education Qualification : Any Graduation

Work Mode : Hybrid

Employment Type : Contract

Notice Period : Immediate - 10 Days

Payroll : people prime Worldwide

Python, Spark, Frameworks like Pytorch/TensorFlow, APIS, LangChain/LangGraph. ChainLit and Vertex AI

6+ years of strong experience in Python and Spark especially for data extraction and automation tasks.

Strong experience with Frameworks like Pytorch/TensorFlow, APIS, LangChain/LangGraph. ChainLit and Vertex AI

Hands-on experience building automated data pipelines using tools like Airflow, Luigi, or custom schedulers.

Knowledge of web data collection techniques, including handling pagination, AJAX, JavaScript-rendered content, and rate-limiting.

Familiarity with RESTful APIs and techniques for API-based data ingestion.

Experience with data storage solutions, such as PostgreSQL, MongoDB, or cloud-based storage (e.g., AWS S3, Google Cloud Storage).

Version control proficiency, especially with Git.

Ability to write clean, modular, and well-documented code.

Strong debugging and problem-solving skills in data acquisition workflows.