Data Engineer - R&D Data Catalyst Team

Data Engineer

Roles & Responsibilities

• Solution Design & Development:

  Design and build scalable enterprise analytics solutions using

  Databricks

  ,

  Power BI

  , and other modern data tools. You will leverage

  data virtualization

  ,

  ETL

  , and

  semantic layers

  to unify data and reduce proliferation.

• Data Modeling & Integration:

  Develop advanced

  SQL

  queries to profile and unify data, and design robust data models and processing layers that support both analytical and operational reporting needs. You will be responsible for integrating data from various sources and ensuring seamless data flows across platforms.

• Power BI & Reporting:

  Develop

  Power BI

  models and reporting packages. You will ensure that data models and reports are optimized for performance and scalability, creating a robust reporting experience for key customers.

• Governance & Best Practices:

  Design and develop solutions based on best practices for

  data governance

  , security, and compliance within

  Databricks

  and

  Power BI

  environments. You will create robust documentation from data analysis, profiling, and proposed designs.

• Collaboration & Innovation:

  Collaborate closely with customers, product teams, and other

  IT

  teams to define data requirements and project goals. You will continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions.

Qualifications

• A Master's degree with 1-3 years of experience, a Bachelor's degree with 3-5 years of experience, or a Diploma with 7-9 years of experience in Data Engineering.
• Minimum of 3 years of hands-on experience with

  BI

  solutions (

  Power BI

  preferred), including report development, dashboard creation, and optimization.
• Minimum of 3 years of hands-on experience building

  Change-Data-Capture (CDC) ETL

  pipelines, data warehouse design, and enterprise-level data management.
• Hands-on experience with

  Databricks

  , including data engineering, optimization, and analytics workloads.
• Deep understanding of

  Power BI

  , including model design,

  DAX

  , and

  Power Query

  .
• Proven experience designing and implementing data mastering solutions and data governance frameworks.
• Certifications such as

  SAFe Agile Practitioner (6.0)

  ,

  Microsoft Certified: Data Analyst Associate (Power BI)

  , and

  Databricks Certified Professional

  are preferred.

Soft Skills

• Problem-Solving:

  Excellent analytical and troubleshooting skills, with a deep intellectual curiosity and the ability to learn quickly.

• Communication:

  Strong verbal and written communication skills, including the ability to present complex technical topics to varied audiences.

• Leadership & Initiative:

  A high degree of initiative and self-motivation, with the confidence to act as a technical leader.

• Collaboration:

  The ability to work effectively with global, remote teams and handle multiple priorities successfully.

• Domain Knowledge:

  Experience with human healthcare data, laboratory testing, and clinical trial data management is a plus.