Location: Raleigh-Durham, NC
We are looking for motivated & self-driven data engineers to join our expanding Scientific Data Foundation team in North America.
This is an exciting opportunity to support pharmaceutical and biotech companies deploying innovative scientific R&D technologies globally. You will enable R&D Digital Transformation, design efficient data pipelines using the latest in Big Data Cloud Infrastructure and engineer new data analytics/visualization capabilities. You will empower our clients to build their future data landscape for data-driven decisions.
Responsibilities:
- Identify and analyze business needs to determine data related requirements,
- Clean, transform, and organize big data for analysis,
- Conduct data analysis to identify trends, patterns, and insights,
- Develop data visualization tools to communicate insights,
- Provide consulting inputs for guidelines, design ideas, standards, & best practices,
- Help stakeholders to estimate, plan, and prioritize data engineering efforts,
- Build relationship with clients, internal and partners' leadership team, and
- Help grow and develop Zifo US Data Science business function.
Required Skills:
- Expertise in Python, Spark, Java, Scala for building data pipelines, warehouses, and data processing systems,
- Expertise in relational databases like SQL & NoSQL,
- Strong understanding of NoSQL databases like MongoDB, Cassandra, and HBase,
- Familiarity with data standards such as FAIR, JSON, OWL and markup languages such YAML
- Understanding of AI/ML, data science concepts & cloud architecture
Qualifications:
- Bachelor's or Master's degree in data engineering / computer science or related field
- Experience with scientific informatics solutions OR background in biological science, chemistry, health sciences OR an experience working in the life or health science industry,
- Minimum 5+ years of experience in cloud computing platforms like AWS, Azure, and Google Cloud Platform (GCP) for deploying and managing data infrastructure in the cloud.
- Experience using version control systems like Git for collaborative code development,
- Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, etc.
- Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications,
- Familiarity with data visualization solution like Tableau, Power Bi and D3.js,
- Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and
- Customer centricity to deliver at the highest standards and elevate customer experience.
A successful Zifo-ite is:- Independent, Self-Motivated & Results driven
- Willing & able to quickly acquire new Technical Skills & Business Principles
- A critical thinker who possesses logical reasoning
- Curious and always looking for creative solutions to complex problems
We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
