Azure Databricks Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

The Job is located in Charlote, NC - Onsite Hybrid

Your Role:

We are looking for an experienced Azure Databricks Engineer with strong expertise in cloud based data engineering ETL development and distributed data processing , The ideal candidate should have solid hands on experience with PySpark Delta Lake Azure Data Factory and building scalable data pipelines on Azure 
The engineer will work closely with business Data Architects and crossfunctional teams to design develop and optimize data pipelines for enterprise grade analytics and reporting 

 

Key Responsibilities 
Data Engineering Pipeline Development Design develop and optimize ETLELT pipelines using Azure Databricks PySpark 
Build scalable data ingestion workflows from various structured and unstructured sources 
Implement transformation logic data cleansing enrichment and validation frameworks Work with Delta Lake to build medallion architecture Bronze Silver Gold layers 
Develop reusable Databricks notebooks and jobs for production data workflows Azure Cloud Integration 
Build and orchestrate pipelines using Azure Data Factory ADF 
Integrate Databricks with other Azure services ADLS Azure SQL Event Hub Key Vault Synapse 
Optimize compute environments clusters pools autoscaling 
Implement DevOps processes using Git CICD Azure DevOps Performance Quality Governance Optimize PySpark jobs for performance and cost efficiency 
Implement best practices for data governance security and access control 
Troubleshoot production issues and perform rootcause analysis 
Conduct code reviews ensuring coding standards and data quality Collaboration Documentation 
Work with Data Architects to define architecture and design patterns 
Prepare technical documents solution diagrams and runbooks 
Collaborate with business stakeholders to understand requirements and translate them into technical solutions 

The base compensation range for this role in the posted location is: 103330 - 128656 

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

 

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw