Big Data Engineer
1 week ago
Capgemini is a leading professional services company that offers consulting, technology, and outsourcing solutions.
As a Big Data Engineer, you will play a key role in designing, analyzing, and organizing raw data to help our clients make informed business decisions.
Our ideal candidate has solid experience with Scala, Spark, Hive, and Hadoop technologies. You will be responsible for building data systems and pipelines, conducting complex data analysis, and reporting on results.
We are looking for someone with excellent technical skills, including Unix Shell scripting, Git, and Jenkins CI/CD pipeline. Previous experience as a data engineer or in a similar role is highly desirable.
The salary range for this position is estimated to be around $120,000-$180,000 per year, depending on your location and level of experience.
Key Responsibilities:
- Design and implement data architectures using Scala, Spark, Hive, and Hadoop
- Analyze and visualize large datasets to identify trends and insights
- Develop and maintain data pipelines using Apache Beam and Airflow
- Collaborate with cross-functional teams to deliver high-quality projects
Required Skills:
- Strong understanding of big data technologies, including Spark, Hive, and Hadoop
- Experience with Scala programming language
- Proficiency in Unix Shell scripting and Jenkins CI/CD pipeline
- Familiarity with cloud-based platforms, such as AWS or GCP
What We Offer:
- A competitive salary and benefits package
- Opportunities for career growth and professional development
- A dynamic and collaborative work environment
- Access to cutting-edge technologies and tools
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