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Pyspark+Databricks

4-13 years
Not Disclosed
10 Oct. 15, 2024
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Experience: 4 to 13 years
Skills: Data Bricks, PySpark
Location: Bangalore/Hyderabad/Kolkata/Pune/Chennai

Technical Skills:

  • Python
  • PySpark
  • Azure Data Lake Store
  • Databricks Workflows
  • Databricks SQL

Responsibilities:

  • Develop and optimize data solutions using Azure Data Lake Store to meet business needs.
  • Utilize Python to create efficient and scalable data processing scripts.
  • Implement and manage Databricks SQL for querying and analyzing large datasets.
  • Design and maintain Databricks Workflows to automate data processing tasks.
  • Leverage PySpark to perform large-scale data transformations and analytics.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
  • Ensure data integrity and quality through rigorous testing and validation processes.
  • Provide technical guidance and support to junior developers and team members.
  • Monitor and troubleshoot data pipelines to ensure smooth operation.
  • Stay updated with the latest industry trends and technologies to continuously improve data solutions.
  • Document all development processes and workflows for future reference.
  • Contribute to the overall data strategy and architecture of the organization.
  • Drive innovation by exploring new tools and techniques to enhance data capabilities.

Qualifications:

  • Strong experience in Azure Data Lake Store, with the ability to manage and optimize large data repositories.
  • Extensive knowledge of Python, with a proven track record in developing efficient data processing scripts.
  • Proficiency in Databricks SQL, capable of querying and analyzing complex datasets.
  • Expertise in designing and maintaining Databricks Workflows for automated data processing.
  • Strong skills in PySpark, with experience in large-scale data transformations and analytics.
  • Nice to have: Experience in Investment Banking Operations, providing valuable domain insights.

The Cognizant Community:
We are a high-caliber team that appreciates and supports one another. Our people foster an energetic, collaborative, and inclusive workplace where everyone can thrive.

Cognizant is a global community with over 350,000 associates worldwide. We don't just dream of a better way—we make it happen. We care for our people, clients, company, communities, and climate by doing what’s right. We promote an innovative environment where you can build the career path that suits you best.

About Us:
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes, and transform experiences to stay ahead in a fast-changing world.

Our Commitment to Diversity and Inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity, and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted, and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. Additionally, candidates may need to present their current state or government-issued ID during each interview.

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