Data Engineer
Share
Job Location:
New Brunswick, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Data Engineer who is responsible for building and maintaining the foundational data infrastructure that supports global healthcare innovation from clinical trials to supply chain digital factories.
Key Responsibilities:
Designing building and maintaining scalable ETL/ELT pipelines to move large volumes of data from disparate sources (APIs databases flat files) into centralized repositories like data lakes or lake houses.
Developing conceptual logical and physical data models to ensure efficient storage and high-speed retrieval for analytics.
Tuning database performance indexing and query execution plans to reduce costs and improve the scalability of big-data environments like Snowflake or Databricks.
Implementing automated validation checks monitoring data drift and ensuring compliance with regulatory standards.
Using CI/CD workflows and tools like Jenkins or Azure DevOps to automate repetitive data extraction and deployment tasks.
Working in Agile teams alongside data scientists product owners and business analysts to translate complex business requirements into technical specifications.
Required Experience:
Proficiency in SQL Python and PySpark.
Extensive experience with Microsoft Azure (Data Factory Synapse ADLS) or AWS (Redshift S3).
Familiarity with orchestration tools (Airflow) version control (Git) and visualization tools like Power BI or Tableau.
Proven expertise in ETL/ELT Data Lakes and Distributed Data Processing.
Experience with data modeling (3NF Star Schema Data Vault).
Expertise in analyzing large datasets for business insights.
Ability to communicate complex analytics to business stakeholders.
Preferred Qualifications:
Bachelors/masters in computer science Data Science Engineering Statistics.
Healthcare/Pharma domain exposure (Claims EHR & Commercial Analytics).
Experience with data privacy & regulatory compliance (HIPAA GDPR).
Comfort working in hybrid cloud ecosystems (AWS/Azure/GCP).
Strong influencing and stakeholder engagement skills.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
