This role requires 6-7 years of experience and the ability to work closely with project leads and clients.
As a Senior Big Data Engineer, you'll join our team to design and develop scalable data processing systems. You'll gather requirements, create end-to-end solutions, and oversee projects from conception to production. Key responsibilities include mentoring team members and translating complex business needs into robust technical solutions using cutting-edge technologies.
Technical Skills:
Must have Strong expertise in Python, PySpark, Spark architecture and performance tuning.
Must have proficiency in writing optimized SQL with performance tuning aspects.
Must have strong expertise in AWS data engineering services (Glue, Lambda, API Gateway, S3).
Ability to translate complex business requirements into technical solutions.
Good to have working knowledge of Unix.
Good to have Hands-on experience with CloudFormation Experience with CI/CD pipeline.
Soft Skills:
Strong problem-solving skills. Excellent communication abilities.
Comfortable working in a fast-paced environment.
Collaboration skills with cross-functional teams.
Ability to deliver high-quality results within project timelines.
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Skills
aws,spark sql,sql,python,
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About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.
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