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Cognizant
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Databricks

Databricks

Cognizant

8 - 12 years

0 Lacs

chennai tamil nadu india

Posted:4 days ago| Platform:

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Skills Required

databricks developer spark scala unity risk management apache airflow redshift python sql pyspark design data processing automation storage retrieval code analysis integrity automate engineering model learning

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

We are seeking a highly skilled Sr. Developer with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in Spark in Scala Delta Sharing Databricks Unity Catalog Admin Databricks CLI Delta Live Pipelines Structured Streaming Risk Management Apache Airflow Amazon S3 Amazon Redshift Python Databricks SQL Databricks Delta Lake Databricks Workflows and PySpark. Experience in Property & Casualty Insurance is mandatory. The role is hybrid with day shifts

Responsibilities

Lead the design and implementation of data processing pipelines using Spark in Scala and PySpark
Oversee the administration of Databricks Unity Catalog and manage data governance
Provide expertise in Delta Sharing and ensure secure data sharing practices
Develop and maintain Databricks CLI scripts for automation and operational efficiency
Implement Delta Live Pipelines for real-time data processing and analytics
Utilize Structured Streaming to build scalable and fault-tolerant streaming applications
Manage risk by identifying and mitigating potential data-related issues
Integrate Apache Airflow for orchestrating complex data workflows
Optimize data storage and retrieval using Amazon S3 and Amazon Redshift
Write efficient and maintainable code in Python for various data processing tasks
Create and manage Databricks SQL queries for data analysis and reporting
Ensure data integrity and performance with Databricks Delta Lake
Develop and monitor Databricks Workflows to automate data tasks
Collaborate with cross-functional teams to understand business requirements and deliver solutions
Communicate effectively in English both written and spoken to document processes and interact with stakeholders
Stay updated with the latest industry trends and best practices in data engineering and Property & Casualty Insurance

Qualifications

Possess strong technical skills in Spark in Scala PySpark and Databricks ecosystem
Have experience with Delta Sharing Databricks Unity Catalog Admin and Databricks CLI
Demonstrate expertise in Delta Live Pipelines and Structured Streaming
Show proficiency in Risk Management and Apache Airflow
Be skilled in using Amazon S3 and Amazon Redshift for data storage solutions
Have advanced knowledge of Python for data processing
Be experienced in Databricks SQL Databricks Delta Lake and Databricks Workflows
Have a background in Property & Casualty Insurance
Be proficient in English for effective communication
Be able to work in a hybrid model with day shifts
Have a minimum of 8 years and a maximum of 12 years of relevant experience
Be detail-oriented and capable of managing multiple tasks simultaneously
Be committed to continuous learning and professional development.

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