Entry Level Azure Data Factory Jobs (NOW HIRING)

Title - Azure Databricks Developer

Location - Charlotte. NC / New York

Job Description - Grade Specific

Role Overview We are looking for an experienced Azure Databricks Engineer with strong expertise in cloudbased 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 servicesADLS 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

Mandatory Skills

Azure Databricks notebooks jobs workflows Delta Lake PySpark dataframes Spark SQL optimization debugging Azure Data Factory ADF triggers pipelines integration runtime Data Lake Storage ADLS Gen2 folder structures

Partitioning security CICD Git branching strategies Azure DevOps pipelines SQL

Strong proficiency in writing optimized queries

The base compensation range for this role in the posted location is: 110841 - 145000

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 compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.