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Zifo

Specialist scientific informatics services for science

Data Engineer

Data EngineeringPosted on Nov 11
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • Expertise in Python, Spark, Java, and Scala for building data pipelines, warehouses, and data processing systems.
  • Expertise in relational databases such as SQL and NoSQL.
  • Strong understanding of NoSQL databases such as MongoDB, Cassandra, and HBase.
  • Familiarity with data standards such as FAIR, JSON, and OWL, and markup languages such as YAML.
  • Understanding of AI/ML, data science concepts, and cloud architecture.
  • Bachelor’s or Master’s degree in data engineering, computer science, or a related field.
  • Experience with scientific informatics solutions, a background in biological science, chemistry, or health sciences, or experience working in the life or health science industry.
  • Experience with cloud computing platforms such as AWS, Azure, and Google Cloud Platform (GCP) for deploying and managing cloud data infrastructure.
  • Experience using version control systems such as Git for collaborative code development.
  • Experience with data-focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, or Airflow.
  • Experience with AI/ML and data science libraries such as Scikit-Learn, TensorFlow, PyTorch, or HuggingFace for preparing data for downstream AI/ML applications.
  • Familiarity with data visualization solutions such as Tableau, Power BI, and D3.js.
  • Data engineering-related certification from a cloud platform such as Azure, AWS, or Cloudera.
  • Customer centricity to deliver high standards and elevate customer experience.

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 input on guidelines, design ideas, standards, and best practices.
  • Help stakeholders estimate, plan, and prioritize data engineering efforts.
  • Build relationships with clients, internal teams, and partner leadership teams.

Desired Qualifications

  • Experience with Clinical Data is a plus.

About the Company

Zifo

Specialist scientific informatics services for science

Zifo provides tailored scientific informatics services across Laboratory/R&D, Manufacturing, and Trial operations to help science-driven organizations discover, develop, manufacture, and test products for global health. It partners with clients to assess needs, design and implement data-driven solutions, and manage ongoing operations using consulting, development, and managed services, leveraging cloud, HPC, data modeling, and instrument data. It differentiates itself with end-to-end informatics capabilities and deep domain knowledge, from transformation coaching to validation and custom integrations, all aimed at supporting research, development, manufacturing, and trials. Its goal is to empower customers to push the boundaries of science and technology while advancing global health and wellbeing.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$250M
Headquarters
New York, NY
Founded
2008

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