Data Engineer Scala Spark
Join to apply for the Data Engineer Scala Spark role at Capgemini
Capgemini offers a global environment with opportunities to shape your career, supported by a collaborative community across the world.
We help leading organizations worldwide discover technology value and build a more sustainable, inclusive world.
Responsibilities
Develop projects from scratch with team collaboration.
Build Apache Spark solutions for batch and real-time architectures.
Design architectures and make decisions in a constructive environment.
Build ETL pipelines with Python (Scala / Spark).
Deploy projects in Cloud (Azure / AWS / GCP).
Create scalable pipelines with different technologies.
English proficiency is essential for international projects.
Qualifications
At least 2 years of experience in Python or Scala and Spark processing large data volumes.
Experience or knowledge in Cloud (Azure, AWS or GCP).
Experience with Databricks, Data Factory, Synapse, Apache Airflow, etc.
Team player and eagerness to keep learning.
Benefits
Wellbeing HUB – policies for physical and mental health.
24 days of vacation + 2 personal days + 24 and 31 December + option to buy up to 7 vacation days per year.
FlexAbroad – remote work from another country during 45 days.
Flexible Compensation Plan (medical insurance, transport, training, restaurant card or food subsidy, childcare...)
Continuous training with access to various platforms (Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First for languages).
Volunteering and social action participation.
Buddies program support.
Life insurance and accidents.
EEO and Inclusion
Capgemini values all candidates. We offer a strong training and certification program. We have a diversity and inclusion policy and a Code of Ethics ensuring professional development and equal opportunity in a discrimination‐free environment. Disability certificates are positively considered.
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