Senior Data Engineer

About

We are looking for a Senior Data Engineer to join a global pharmaceutical client and help build scalable data infrastructure and modern cloud-based data pipelines.

Responsibilities

• Design and develop scalable, reliable data pipelines and infrastructure
• Build ETL/ELT workflows for large-scale data processing
• Develop and maintain data warehousing solutions
• Process and analyze large datasets to support business insights
• Ensure data integrity, quality, and governance standards
• Optimize data collection, storage, and processing performance
• Create dashboards, templates, and visualizations for stakeholders
• Collaborate with business and technical teams to identify data needs
• Design and execute experiments to validate data-driven solutions

Requirements

• Strong experience with:
  • SQL
  • Python or Scala
  • AWS cloud platform
• Experience with big data technologies:
  • Spark
  • Kafka
  • Hadoop
• Strong knowledge of:
  • Data modeling
  • ETL/ELT pipeline development
  • Data warehousing concepts
• Experience with orchestration tools such as Apache Airflow
• Strong analytical and problem-solving skills
• Experience working in enterprise-scale environments

Nice to Have

• Experience with manufacturing processes
• Knowledge of data governance and data quality frameworks
• Experience within pharmaceutical or healthcare environments

Benefits

• Location and time zone : USA, New Jersey. While the role is based in the USA, strong profiles from Europe can also be considered if they align well with the role requirements and meet client expectations.
• Contract Type: Freelance / Contract
• Start date: May - June
• Time Allocation: 100%