Sr. Data Engineer
Core
Design efficient data pipelines using Big Data Cloud Infrastructure and engineer data analytics/visualization capabilities to enable R&D Digital Transformation for pharmaceutical and biotech companies.
Role type
Senior Data Engineer (Scientific Data Foundation)
Builds
Data pipelines, warehouses, data processing systems, and data visualization tools for pharma/biotech R&D.
Domain
Pharma & Health / Scientific Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Spark, Java, Scala, SQL, NoSQL (MongoDB, Cassandra, HBase), Cloud Architecture (AWS, Azure, GCP), Git, Data Standards (FAIR, JSON, OWL, YAML), AI/ML concepts, Data Visualization (Tableau, Power BI, D3.js)
Preferred skills
Experience with Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, Scikit-Learn, TensorFlow, PyTorch, HuggingFace, Data Engineering certifications
Technologies
AWS, Azure, GCP, Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, MongoDB, Cassandra, HBase, Tableau, Power BI, D3.js, Scikit-Learn, TensorFlow, PyTorch, HuggingFace
Responsibilities
Identify and analyze business needs to determine data requirements; Clean, transform, and organize big data; Conduct data analysis to identify trends and insights; Develop data visualization tools; Provide consulting inputs for guidelines and best practices; Help stakeholders estimate, plan, and prioritize data engineering efforts; Help grow and develop the Data Science business function.
Seniority
Senior, hands-on IC
