Data Engineer (Databricks)

Capgemini
New York, NY, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$90,000.0 - $115,000.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Application Frameworks Continuous Integration Data Governance Data Masking Role-Based Access Control Workflow Management Systems Pyspark Databricks

Requirements

  • Design enterprise-scale Lakehouse architectures using Databricks.

  • Define target-state data platform architectures and migration roadmaps. * Develop reference architectures, reusable frameworks, and accelerator solutions.

  • Establish enterprise data governance, security, and operational standards.

  • Well versed with role based access controls, data masking, developing models with Unity Catalog to enable secure sharing and ensure classification, lineage, and auditability.

  • Hands on experience with Pyspark job development and implementation

  • Familiarity with CI/CD methods desired

  • Background working with orchestration tools, such as Airflow

  • Strong knowledge of Unity Catalog and large scale governance.

  • Experience in advance features of databricks like Databricks Apps, Delta sharing

  • Knowledge of real time and streaming integration.

Benefits & conditions

The base compensation range for this role in the posted location is: $90,000 - $115,000

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)

About the company

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., 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.

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