Senior Applications Consultant - Lead Data Engineer

Senior Applications Consultant - Lead Data Engineer-079304

Description

 

About the job you’re considering

We are seeking a highly motivated and experienced Data Engineer to join our growing data team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable and reliable data pipelines and data warehousing solutions on the Azure cloud platform. You will work closely with data scientists, analysts, and other stakeholders to transform raw data into valuable insights that drive business decisions. The ideal candidate possesses a strong understanding of data engineering principles, proficiency in Azure cloud technologies, and hands-on experience with ADF, Databricks, Snowflake, and Control-M.

Your role

• Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory (ADF).
• Build and optimize data warehousing solutions on Snowflake, ensuring performance, scalability, and data quality.
• Leverage Databricks for data processing, transformation, and advanced analytics using Spark and Python/Scala.
• Implement and manage data orchestration and scheduling using Control-M.
• Collaborate with data scientists and analysts to understand their data requirements and provide efficient data solutions.
• Monitor and troubleshoot data pipelines and data warehouse performance, ensuring data integrity and reliability.
• Implement data quality checks and validation processes to ensure accuracy and consistency of data.
• Develop and maintain data models and schemas for optimal data storage and retrieval.
• Implement and maintain data security and governance policies.
• Stay up-to-date with the latest advancements in Azure cloud technologies and data engineering best practices.
• Document data pipelines, data models, and ETL processes.
• Participate in code reviews and contribute to the development of data engineering standards and best practices.
• Troubleshoot and resolve data-related issues in a timely manner.

Your skills and experience

• Azure Cloud: Deep understanding of Azure cloud services, particularly in the data and analytics domain.
• Azure Data Factory (ADF): Proven experience in designing, building, deploying, and managing complex data pipelines using ADF, including data flows and mapping data flows.
• Databricks: Hands-on experience with Databricks, including Spark programming (Python or Scala), Delta Lake, and optimizing Spark jobs for performance.
• Snowflake: Extensive experience in designing, developing, and administering data warehouses on Snowflake, including data modeling, SQL development, performance tuning, and security features.
• Control-M: Experience in using Control-M for workflow orchestration, scheduling, monitoring, and managing batch processes.
• SQL: Strong proficiency in SQL for data querying, manipulation, and analysis across different database systems.
• Data Modeling: Solid understanding of different data modeling techniques (e.g., relational, dimensional).
• ETL/ELT Concepts: Comprehensive understanding of ETL and ELT principles and best practices.
• Scripting: Proficiency in at least one scripting language such as Python for automation and data manipulation.
• Version Control: Experience with Git and related version control workflows.
• Data Quality: Understanding of data quality principles and experience implementing data quality checks and processes.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

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. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

    

Job

 : Programmer/Analyst

Schedule

 : Full-time

Primary Location

 : US-TX-Frisco

Organization

 : I&D