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Senior Data Engineer – AWS
futureproof consultingSenior Data Engineer for a global pharmaceutical client. Building scalable data infrastructure and cloud-based data pipelines supporting business insights.
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLHadoopKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 5+years in data engineering
- 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
Benefits
Comp & perks- Location and time zone : USA, New Jersey.
- Contract Type: Freelance / Contract
- Start date: May - June
- Time Allocation: 100%
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonScalaAWSSparkKafkaHadoopData modelingETLData warehousing
Soft Skills
analytical skillsproblem-solving skillscollaboration