Data Engineer

4 Months ago • 4 Years +
Data Analysis

Job Description

The Data Engineer will develop and maintain data pipelines tailored to Azure environments, ensuring security and compliance. Responsibilities include collaborating with cross-functional teams, translating requirements into technical specifications, and developing data models. They will leverage Python libraries for data handling, ensure SQL workflows meet performance standards, and build/maintain ETL pipelines. The role also involves implementing CI/CD pipelines, optimizing data workflows, and documenting data infrastructure. This role demands ensuring data integrity and scalability while optimizing for performance and reliability. The ideal candidate will optimize and tune data workflows and processes to ensure high performance and reliability. They will also monitor, troubleshoot, and optimize data processes for performance and reliability.
Must Have:
  • Develop and maintain data pipelines in Azure.
  • Gather and translate data requirements into technical specs.
  • Expertise in Azure Synapse, Data Lake, Data Factory.
  • Proficient in SQL and PL/SQL for data processing.
Perks:
  • Flexible work arrangements including remote work and flexible hours.
  • Career growth programs and diverse professions.
  • Certifications in latest technologies like Generative AI.

Add these skills to join the top 1% applicants for this job

cross-functional
communication
data-analytics
character-design
artistic-vision
azure
data-science
ci-cd
python
sql

Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.

Your role

  • Develop and maintain data pipelines tailored to Azure environments, ensuring security and compliance with client data standards.
  • Collaborate with cross-functional teams to gather data requirements, translate them into technical specifications, and develop data models.
  • Leverage Python libraries for data handling, enhancing processing efficiency and robustness.
  • Ensure SQL workflows meet client performance standards and handle large data volumes effectively.
  • Build and maintain reliable ETL pipelines, supporting full and incremental loads and ensuring data integrity and scalability in ETL processes.
  • Implement CI/CD pipelines for automated deployment and testing of data solutions.
  • Optimize and tune data workflows and processes to ensure high performance and reliability.
  • Monitor, troubleshoot, and optimize data processes for performance and reliability.
  • Document data infrastructure, workflows, and maintain industry knowledge in data engineering and cloud tech.

Your Profile

  • Bachelor’s degree in computer science, Information Systems, or a related field
  • 4+ years of data engineering experience with a strong focus on Azure data services for client-centric solutions.
  • Extensive expertise in Azure Synapse, Data Lake Storage, Data Factory, Databricks, and Blob Storage, ensuring secure, compliant data handling for clients.
  • Good interpersonal communication skills
  • Skilled in designing and maintaining scalable data pipelines tailored to client needs in Azure environments.
  • Proficient in SQL and PL/SQL for complex data processing and client-specific analytics.

What you will love about working here

  • We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
  • Equip yourself with valuable certifications in the latest technologies such as Generative AI.

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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