Sahibzada ajit singh nagar, Punjab, India
Information Technology
Full-Time
Birlasoft
Overview
About Birlasoft
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.
Title: Data Engineer
Key Responsibilities
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.
Title: Data Engineer
Key Responsibilities
- Experience building maintainable, testable, and scalable data pipelines for big data using PySpark according to best practices
- Deep understanding of Spark's execution engine for processing billion of records
- Strong skills in performance optimization as well as experience configuring Spark clusters for efficient resource usage at scale.
- Advanced Python skills
- Basic knowledge in SQL
- Basic understanding of Git and Git workflow
- Collaborate with business teams to gather requirements and translate them into technical solutions.
- Build and optimize data models and workflows for performance and scalability.
- Ensure data quality, integrity, and governance across all solutions.
- Create clear and concise documentation and deliver presentations to stakeholders.
- Work independently and take ownership of projects from inception to deployment.
- Strong experience with PySpark and Python.
- Solid understanding of data engineering principles and ETL processes.
- Experience in working with large-scale data systems.
- Excellent communication, documentation, and presentation skills.
- Ability to work independently and manage multiple priorities.
- Familiarity with Palantir Foundry or similar platforms.
- Experience with cloud platforms (AWS, Azure, GCP).
- Knowledge of data warehousing and SQL.
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