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Databricks + Pyspark

Databricks + Pyspark

Cognizant

4 years

0 Lacs

mumbai maharashtra

Posted:3 weeks ago| Platform: SimplyHired logo

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Skills Required

research no travel

Work Mode

On-site

Job Type

Full Time

Job Description

Skill: Pyspark + Databricks

Experience: 4 to 9 Years

Location : AIA - Bangalore

Job Summary

We are seeking a highly skilled Technical Lead with 4 to 9 years of experience to join our dynamic team. The ideal candidate will have expertise in Databricks Workflows Unity Catalog and Databricks with a preference for experience in Research and Development. This hybrid role offers the opportunity to work on cutting-edge projects during day shifts with no travel required.

Responsibilities

Lead the design and implementation of scalable data solutions using Databricks Workflows to enhance data processing capabilities.
Oversee the integration of Databricks Unity Catalog to ensure seamless data governance and security across platforms.
Provide technical expertise in Databricks to optimize performance and drive innovation in data analytics.
Collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements and objectives.
Develop and maintain comprehensive documentation for data workflows and processes to facilitate knowledge sharing.
Mentor and guide junior team members to foster a culture of continuous learning and improvement.
Conduct regular code reviews to ensure adherence to best practices and coding standards.
Analyze complex data sets to identify trends and insights that support strategic decision-making.
Implement robust testing frameworks to ensure the reliability and accuracy of data solutions.
Coordinate with stakeholders to gather requirements and translate them into technical specifications.
Drive the adoption of new technologies and methodologies to enhance the teams capabilities and efficiency.
Ensure compliance with industry standards and regulations to protect data integrity and privacy.
Monitor system performance and troubleshoot issues to maintain optimal operation of data platforms.

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Databricks + Pyspark