Join us as a Application Engineer - PySpark Developer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.
To be successful as Application Engineer - PySpark Developer you should have experience with:
Hands-on programming experience in a Big Data Hadoop ecosystem.
Proficiency in PySpark, Hive, and Impala.
Exposure to Mongo DB or any other NoSQL database.
Solid experience with Unix shell.
Experience with scheduling tools like AutoSys, airflow.
Strong understanding of Agile methodologies and tools (JIRA, Confluence).
Experience with CI/CD tools such as Jenkins, TeamCity, or GitLab.
Excellent communication and collaboration skills.
Ability to work independently and drive delivery with minimal supervision.
Some other highly valued skills include:
Bachelor's degree in Computer Science, Engineering, or a related field.
Relevant certifications in Big Data or cloud technologies are a plus.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Pune.
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