Data Engineer Databricks - dc05

Short company description

Why we’re different:

At Capgemini, we help organizations across the world become more agile, more competitive and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.


Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

Requirements

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.

Relevant professional experience in data engineering or a comparable data-focused role.
Hands-on experience with Databricks and Microsoft Azure
Strong SQL knowledge and experience working with data transformation and aggregation.
Experience with IBM Cognos Analytics, including report development, maintenance, and incident resolution.
Knowledge of Teradata and experience with historical data migration are valued.
Experience working with DevOps and CI/CD practices, particularly Azure DevOps.
Professional fluency in French and English.
Strong analytical thinking, problem-solving ability, attention to detail, communication, and teamwork skills.

Responsibilities

As a Data Engineer Databricks, you will be responsible for designing, developing, and optimizing data solutions within a modern Azure ecosystem. You will contribute to data ingestion, migration, transformation, quality assurance, and reporting activities while collaborating closely with development, infrastructure, and business teams.

In this role you will:

Implement data ingestion processes in Databricks.
Support the migration and recovery of historical data from Teradata.
Ensure data quality, consistency, and reliability across the platform.
Build data aggregations based on functional specifications provided by business teams.
Collaborate with development and infrastructure teams to ensure smooth integration.
Contribute to data management best practices and standards.
Analyze and resolve incidents related to reports and dashboards in IBM Cognos Analytics.
Develop and maintain reports using IBM Cognos Analytics.
Participate in testing, deployment, and user support activities.
Work within a DevOps and CI/CD environment using Azure DevOps.

Other info

WHAT YOU''''LL LOVE ABOUT WORKING HERE:
• Flexible and dynamic work environment involving teams spread across different global locations;
• Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
• Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
• Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability

Benefits

• Special events bonus (ex: Easter, Christmas)
• Medical subscription
• Life insurance
• Trainings
• Courses
• Certifications
• Bookster subscription
• Choose your benefits within a maximum budget
• Extra days off
• Parties / company events
• Laptop
• Meal vouchers