Data Engg - Sr Technical Lead
INDIA - HYDERABAD - BIRLASOFT OFFICE, IN
Birlasoft
At Birlasoft we combine the power of domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!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:
• 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.
Required Skills:
• 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.
Nice to Have:
• Familiarity with Palantir Foundry or similar platforms.
• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of data warehousing and SQL.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Data pipelines Data quality Data Warehousing Engineering ETL GCP Git Pipelines PySpark Python Spark SQL
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.