Senior Data Engineer

Capgemini Global Insights & Data business line is a market leader in data, platform, and analytics across various sectors, including financial services, consumer products, manufacturing, and life sciences. This role focuses on leading data-driven decision-making processes and requires a balance of analytical skills and strategic foresight. The Senior Data Engineer (Cloud) will create scalable data pipelines, optimize data architectures, and ensure the security and reliability of cloud-based data solutions.

Key Responsibilities:

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines using cloud-native tools.
• Implement best practices for data ingestion, transformation, and loading processes across multiple sources.
• Automate workflows and develop data pipelines using tools such as Apache Airflow, Glue, Databricks, or Dataflow.
• Architect, build, and maintain cloud-based data solutions using AWS, Azure, or Google Cloud Platform (GCP).
• Optimize cloud infrastructure for cost, performance, and security.
• Implement monitoring, logging, and alerting solutions for data pipelines and cloud infrastructure.

Qualifications:

• Bachelor’s degree in data science, Analytics, Business, or related field; advanced degrees or certifications are a plus.
• Proficiency with cloud platforms such as AWS, Azure, or GCP.
• Strong programming skills in Python, Java, Scala, or SQL.
• Experience with big data tools (Hadoop, Spark, Kafka, etc.).
• Knowledge of relational and different databases (PostgreSQL, MongoDB, Cassandra).

Why You Should Consider Capgemini:
Joining Capgemini not only means becoming part of a thriving company, but it also provides opportunities to learn from diverse thinkers and industry experts. As part of this team, you'll help clients leverage technology to innovate and grow their businesses, all while contributing to a more sustainable future.

Work Conditions:
On-site, Full-time

Location:
Al Khobar, Eastern, Saudi Arabia

Language Requirements:
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