Job description

Location: Raleigh-Durham, NC We are looking for motivated & self-driven data engineers to join our expanding Scientific Data Foundation team in North America. Zifo serves the pharma & health industry to accelerate the discovery, development, and manufacturing of new drugs, therapies, and vaccines - to save lives faster!  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 About Zifo: CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. 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! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

Must-haves

Location: Raleigh-Durham, NC
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.
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
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.
Independent, Self-Motivated & Results driven

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

pythonjavasqlaimlawsazuregcp

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k