Data Engineer

Overview

Job Title: Data Engineer
Locations: Pune / Noida
Experience Required: 6-8 Years
Skills Required: Python, PySpark, SQL, AWS/Azure/GCP

About the Role:
We are looking for an experienced Data Engineer to join our team in Pune or Noida. The ideal candidate will have 6-8 years of experience in designing, building, and maintaining scalable data pipelines and working with cloud-based platforms. As a Data Engineer, you will be responsible for transforming raw data into usable formats, optimizing data workflows, and implementing data pipelines to support data analysis and business intelligence initiatives.

Key Responsibilities:

• Design, build, and maintain robust data pipelines to process large sets of structured and unstructured data.
• Develop and optimize ETL processes for data integration, transformation, and loading.
• Work with cloud platforms like AWS, Azure, or Google Cloud to build and scale data infrastructure.
• Write efficient and optimized SQL queries for extracting and manipulating data from relational databases.
• Use Python and PySpark to create scalable data solutions and implement algorithms for data processing and analysis.
• Collaborate with data scientists, analysts, and other stakeholders to gather requirements and provide data solutions.

Key Skills & Qualifications:

• 6-8 years of experience in Data Engineering or a related field.
• Proficiency in Python and experience with PySpark for data processing.
• Strong knowledge of SQL for querying and manipulating large datasets.
• Hands-on experience with AWS, Azure, or Google Cloud for building cloud-based data solutions.
• Experience with data storage solutions like Redshift, BigQuery, S3, Blob Storage, or similar.

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Job Type: Full-time

Work Location: In person