JUNIOR DATA ENGINEER

About Capgemini EngineeringHi thereWe are Capgemini Engineering.
A brand part of the Capgemini Group.
e have the mission to empower every person and every organization on the planet to achieve more.
Our culture is centered on embracing a growth mindset, diversity, inclusion, a purpose of inspiring excellence, and encouraging teams and leaders to bring their best each day.
In doing so, we create life-changing innovations that impact billions of lives around the world.
You can help us to achieve our mission!Now, we have more than team members in nearly 50 countries, in sectors such as aeronautics, automotive, communications, energy, life sciences, software & internet, space & defense and consumer products.
our MissionYou will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client.
You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.
our RoleDesign, develop, and maintain scalable and efficient data-centric applications and systems.
ollaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS, GCP, or Azure.
esign, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards.
onduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes.
reate and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency.
valuate, recommend, and implement improvements in data infrastructure and methodologies to reduce costs and enhance performance.
upport ongoing AI & Analytics operations and systems, interpret trendsCommunicate findings, proposals, and technical solutions effectively to diverse stakeholders.
eam work in a data-driven, solution oriented and critical mind-set is greatly encouraged and valued.
rofiency in English is greatly valuedYour ProfileAt least 2 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.
roficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes.
roficient in at least programming/querying languages used for data engineering such as Python and SQL, NoSQLs, or similar languages.
nowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OSStrong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.
xperience with big data technologies such as Spark or other distributed processing technologiesFamiliarity with tools for workflow orchestration such as AirflowKnowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.
xcellent communication skills and the ability to collaborate effectively in cross-functional teams.
nalytical mindset, attention to detail, and problem-solving skills to address complex data challenges.
amiliarity with Standard AI/ML processes & operations is greatly valued.
egree in computer science, software engineering, or other engineering domains.
roficiency in English is mandatory.
Additional languages are an advantage.