Job Description

Azure Databricks Tech Lead (Onsite) at Cognizant summary:

The Azure Databricks Tech Lead at Cognizant is responsible for the development and deployment of data solutions for the IDA portfolio, focusing on insurance data workflows. This role involves leading technical efforts in designing scalable ETL/ELT processes and integrating diverse data sources while mentoring junior engineers. Candidates should have extensive experience in data engineering, particularly with Azure services and Databricks.

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

This is an onsite position open to any qualified applicant in the United States

Job Title: Azure Databricks Lead

Job summary:

Experienced Azure Databricks Tech Lead for IDA portfolio to own the development and deployment of data solutions. Role involves being hands on and play the role of technical lead across the portfolio.

Roles/Responsibilities

• Own the design development and implementation of Azure Databricks solutions tailored to insurance data workflows
• Craft scalable and optimized data pipelines ETL/ELT processes and data lake architectures on Azure to support analytics actuarial models and operational data needs
• Collaborate with stakeholders in pricing underwriting claims and policy management to define data requirements and build solutions aligned with business objectives
• Develop and optimize data workflows using Databricks spark delta lake and azure services (Azure Data Factory Synapse Analytics)
• Integrate external and internal data sources including policy admin systems pricing engines and claims management platforms ensuring data accuracy and consistency
• Supervise and improve performance of Databricks notebooks clusters and pipelines to ensure efficient processing of large datasets
• Implement standard processes for data governance security and compliance adhering to industry regulations
• Work closely with system analysts’ users and develop technical specifications and solutions
• Guide and mentor junior data engineers and developers in standard methodologies for Azure Databricks and client specific use cases

Qualifications

• 10+ Years of experience in data engineering with 4+ years on Azure Databricks
• Hands on experience with Azure tools and services including Databricks Azure Data Factory ADLS Delta Lake Synapse Analytics and Azure SQL
• Proficiency in Python SQL for data transformation and pipeline
• Familiarity with integration of structure semi-structured and unstructured data from various sources.
• Experience with CI/CD pipelines GIT and DevOps practices for data engineering.

Salary and Other Compensation :

Applications will be accepted until January 16, 2025.

The annual salary for this position is between $81,000 – $150,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits 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.

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Keywords:

Azure, Databricks, data engineering, ETL, data governance, cloud computing, Python, SQL, data solutions, analytics

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