Data Engineer
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- 88 open roles at this company in 30 days (mass-hiring blitz)
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About the role
We'll Trust you to:
Design, develop, optimize, and support Beghou's AI-forward data platform.
Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
Develop cloud-native data solutions on AWS and/or Azure.
Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
Optimize data processing performance, reliability, and scalability.
Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
Apply cloud security and identity management best practices across the platform.
Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
3+ years of professional data engineering experience.
Strong programming experience with Python, including pandas and/or PySpark.
Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
Experience using Git-based source control and modern CI/CD practices.
Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
Knowledge of cloud security best practices.
Preferred Qualifications
Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
Experience incorporating AI-assisted development tools into engineering workflows.
Industry certifications such as:
Databricks Certified Data Engineer
AWS Certified Data Engineer
Microsoft Azure/Fabric Data Engineer
Google Cloud Professional Data Engineer
Experience in the life sciences, healthcare, or pharmaceutical industry.
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