Data Engineer

Zifo

. Identify and analyze business needs to determine data-related requirements .

Posted 11/12/2026full-timeMexico City • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, including building data pipelines and analytics capabilities using Python, Spark, and cloud platforms. Proficient in data visualization and analysis to support decision-making in the pharmaceutical and biotech sectors.

Highest-signal resume keywords

Python ExpertiseData Pipeline DevelopmentCloud Platform ExperienceData Visualization ToolsRelational Database Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSparkJavaScalaSQLNoSQLMongoDBCassandraHBaseData Analysis

Soft Skills

Customer CentricityStakeholder EngagementConsulting Skills

Tools & Technologies

AWSAzureGoogle Cloud PlatformSnowflakeDatabricksKafkaClouderaKnimeAirflowTableau

Certifications & Qualifications

Data Engineering CertificationCloud Platform Certification

Industry Keywords

PharmaceuticalBiotechScientific InformaticsLife SciencesHealth SciencesAI/MLDigital TransformationData-Driven Decisions

Tech Stack

Tools & technologies

AirflowAWSAzureCassandraCloudD3.jsGoogle Cloud PlatformHBaseJavaJavaScriptKafkaMongoDBNoSQLPythonPyTorchScalaScikit-LearnSnowflakeSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

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, and best practices
Help stakeholders estimate, plan, and prioritize data engineering efforts
Build relationships with clients and internal and partner leadership teams
Support pharmaceutical and biotech companies deploying innovative scientific R&D technologies globally
Enable R&D digital transformation
Design efficient data pipelines using big data cloud infrastructure
Engineer data analytics and visualization capabilities
Empower clients to build data landscapes for data-driven decisions

Requirements

What you’ll need

Expertise in Python, Spark, Java, and Scala for building data pipelines, warehouses, and data processing systems
Expertise in relational databases including SQL and NoSQL
Strong understanding of MongoDB, Cassandra, and HBase
Familiarity with FAIR, JSON, OWL, and YAML
Understanding of AI/ML, data science concepts, and cloud architecture
Bachelor’s or Master’s degree in data engineering, computer science, or related field
Experience with scientific informatics solutions, biological science, chemistry, health sciences, or the life/health science industry
Experience with AWS, Azure, and Google Cloud Platform (GCP)
Experience using Git
Experience with Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, or similar data-focused solutions
Experience with Scikit-Learn, TensorFlow, PyTorch, HuggingFace, or similar AI/ML and data science libraries
Familiarity with Tableau, Power BI, and D3.js
Data engineering-related certification from a cloud platform such as Azure, AWS, or Cloudera
Customer centricity to deliver at the highest standards and elevate customer experience
Experience with Clinical Data is a plus
Must be a Mexican citizen or resident; Zifo Mexico is unable to sponsor visas or work permits for non-Mexican citizens/residents

Benefits

Comp & perks

Competitive compensation package
Accrued vacation
Vacation bonus at 40% over 14 days
Fondo de Ahorro
Personal days
Healthy Christmas bonus
Equal opportunity employer
Diversity-valuing workplace