Senior Data Engineer - Databricks

Capgemini
Atlanta, GA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$89,400 - $166,398
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Cloud Computing Databases Continuous Integration Data Architecture Information Engineering Extract Transform Load (ETL) Data Visualization Data Warehousing
+14 more
Database Development Python (Programming Language) Performance Tuning Systems Integration Talend Unstructured Data Workflow Management Systems Google Cloud Apache Spark Data Lakes Pyspark Marketplace Data Pipelines Databricks

Job description

  • Define and deploy an end to end data architecture that includes Databricks medallion architecture
  • Experience leading large teams of engineers and developers to deploy Databricks solutions
  • Experienced in managing senior client stakeholders

Requirements

We are looking for an experienced Data Engineer with strong expertise in designing, building, and optimizing scalable data solutions on the Databricks Lakehouse Platform. Skilled in developing end-to-end ETL/ELT pipelines using Apache Spark (PySpark), Delta Lake, and cloud platforms such as Azure, AWS, or GCP. Proficient in data modeling, data warehousing, performance tuning, and integrating structured and unstructured data from multiple sources., * 6+ Years of Experience in Data Engineering

  • At least four years of experience designing and delivering data engineering solutions with Databricks
  • Expert level hands on development knowledge in PySpark/Python
  • Expert level hands on SQL development skills
  • Hands on cloud platform experience in two of the following cloud platforms: Azure, AWS, Google Cloud
  • Prior expertise deploying Delta Lake Solutions into production
  • Experience extracting value from large and complex sets of data from various sources and databases
  • Solid grasp of database engineering and design principles
  • Familiarity with CI/CD methods desired
  • Background working with orchestration tools, such as Airflow
  • Strong knowledge of Unity Catalog
  • Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired
  • Delta Sharing and Marketplace Expertise
  • Experience working with Databricks Apps
  • Working knowledge of Databricks Genie, AI/BI and Databricks Data Visualization Capabilities
  • Conceptual, Logical and Physical Data Modeling Experience Preferred’

Benefits & conditions

The base compensation range for this role in the posted location is: $89,400 - $166,398.

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.

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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