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Cognizant
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Databricks

Databricks

Cognizant

4 - 8 years

0 Lacs

hyderābād

Posted:4 days ago| Platform: GlassDoor logo

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Skills Required

databricks developer model spark scala unity data processing analytics governance management storage python scripting automation design sql extract retrieval automate pyspark analysis support integrity testing drive learning

Work Mode

On-site

Job Type

Part Time

Job Description

Job Summary

We are seeking a skilled Developer with 4 to 8 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Spark in Scala Delta Sharing Databricks Unity Catalog Admin and other Databricks tools. A strong background in Property & Casualty Insurance is essential. This role involves working on innovative projects that enhance our data processing capabilities and contribute to our companys success.

Responsibilities

Develop and maintain scalable data processing solutions using Spark in Scala to enhance data analytics capabilities.
Implement and manage Delta Sharing to ensure seamless data exchange across platforms.
Administer Databricks Unity Catalog to maintain data governance and security.
Utilize Databricks CLI for efficient management of Databricks resources and workflows.
Integrate Amazon S3 for robust data storage solutions and ensure data accessibility.
Leverage Python for scripting and automation to streamline data processing tasks.
Design and execute complex queries using Databricks SQL to extract meaningful insights.
Optimize data storage and retrieval using Databricks Delta Lake for improved performance.
Develop and manage Databricks Workflows to automate data pipelines and processes.
Implement PySpark for large-scale data processing and analysis to support business objectives.
Collaborate with cross-functional teams to align data solutions with business needs.
Ensure data quality and integrity through rigorous testing and validation processes.
Stay updated with the latest industry trends and technologies to drive innovation. Qualifications
Possess strong expertise in Spark in Scala and Databricks tools for data processing.
Demonstrate proficiency in Python and PySpark for scripting and automation.
Have experience with Amazon S3 for data storage and management.
Exhibit a solid understanding of Property & Casualty Insurance domain.
Show capability in managing data governance with Databricks Unity Catalog.
Display strong analytical skills with Databricks SQL for data insights.
Have a proactive approach to learning and implementing new technologies.

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