Pharma Data Engineering Lead for Analytics & Cloud
MathCo
New Jersey
On-site
USD 100,000 - 140,000
Full time
14 days+
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Job summary
A leading consulting firm is seeking an Engineering Consultant experienced in the Pharmaceutical sector to join their team in New Jersey. This role demands strong data engineering and analytics skills to address complex business challenges. The candidate will work closely with clients and cross-functional teams, ensuring effective communication and solution implementation. Ideal applicants will possess over 7 years of relevant experience, particularly in leveraging cloud technologies and ensuring data quality compliance within a regulated environment.
Qualifications
7+ years of experience in data engineering concepts, including ETL/ELT pipelines and data modeling.
Experience with cloud platforms and modern data ecosystems.
Familiarity with technologies like Python, SQL, Spark, Databricks, or Snowflake.
Experience working in the pharmaceutical or life sciences industry.
Responsibilities
Collaborate with clients to understand requirements and translate them into technical solutions.
Design and implement data engineering and analytics solutions for pharmaceutical applications.
Work on data pipelines, integration, and platform enablement.
Provide consultative recommendations to enhance data architecture and analytics capabilities.
Skills
Data engineering concepts
Cloud platforms (AWS, Azure, GCP)
Python
SQL
Spark
Databricks
Data orchestration tools (Airflow, ADF)
Data governance
Analytical thinking
Communication skills
Client-facing consulting
Job description
A leading consulting firm is seeking an Engineering Consultant experienced in the Pharmaceutical sector to join their team in New Jersey. This role demands strong data engineering and analytics skills to address complex business challenges. The candidate will work closely with clients and cross-functional teams, ensuring effective communication and solution implementation. Ideal applicants will possess over 7 years of relevant experience, particularly in leveraging cloud technologies and ensuring data quality compliance within a regulated environment.