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Cloud Data Developer/Engineer
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Planet Pharma Group
Nutley, NJ (In Person)
$166,400 Salary, Full-Time
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Job Description
- Experience 7-10+ years in Data Engineering/Cloud Development.
- Proven experience designing and building scalable data pipelines (ingestion, transformation, validation) using AWS, Python, and Databricks (Spark/PySpark).
- Experience working with structured, semi-structured, and unstructured data.
SAS7BDAT
is strongly preferred.- Hands-on experience with modern data platforms such as Databricks.
- Experience with data governance tools (e.g., Immuta) is preferred.
- Familiarity with analytics and statistical tools such as Tableau, R/Posit, or SAS is a plus.
- Deep expertise in AWS data services (e.g., S3, Lambda, RDS, FSx/EFS) and cloud-native architecture best practices.
- Strong programming skills in Python and SQL, with experience in PySpark; working knowledge of R is a plus
- Experience with CI/CD and orchestration tools such as GitHub, Azure DevOps, and Apache Airflow.
- Working knowledge of data science and machine learning concepts (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with Databricks, including cluster usage and performance optimization; exposure to Unity Catalog and platform administration is a plus.
- AWS and/or Databricks certifications are preferred.
- Experience with Kubernetes/EKS is a plus.
- Experience architecting technology solutions to meet business requirements.
- Experience managing technology projects end to end through planning, design, build, testing and deployment phases.
- Understanding of Computer System Validation for GxP vs Non-GxP technologies is preferred.
- Strong communication skills and ability to work collaboratively with internal IT partners, business partners and external vendors.