Azure Data Engineer
Sequoia Connect
AzureCloudETLPythonSQL
Senior Consultant, Data Management
Beghou Consulting
full-time
Posted on:
Origin: • 🇺🇸 United States • Illinois
Visit company websiteSalary
💰 $100,000 - $150,000 per year
Job Level
Senior
Tech Stack
AzureETLInformaticaMySQLOraclePostgresPythonTableauVBA
About the role
- Lead cross-functional project teams in the design and development of high-quality deliverables for clients.
- Provide strategic advice on project direction, resource management, and timelines; assume responsibility for key data analytics tasks to support internal teams and clients.
- Collaborate with leadership to define project scope, approach, and development strategies.
- Contribute to Beghou’s internal data warehouse build (ARMADA) and demonstrate knowledge of data platform components and data engineering practices.
- Analyze data, synthesize findings, and develop actionable insights; communicate results to both internal and external teams.
- Independently manage projects, handling client communications, meeting facilitation, and timelines; serve as a primary point of contact with minimal oversight.
- Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
- Coordinate with global and diverse teams to ensure seamless project execution.
- Engage in business development activities and contribute to internal firm initiatives to drive organizational growth.
- Provide mentorship and guidance to junior team members, overseeing professional development and encouraging continuous improvement.
Requirements
- Bachelor’s or advanced degree with at least 4 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry.
- Experience with one or more UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred.
- Experience with relational database technologies (PostgreSQL, Oracle, MySQL, Databricks, Snowflake).
- Demonstrated knowledge of data platform components (warehouse, monitoring, etc.), data engineering (ETL design, schema design), and CI/CD best practices.
- Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred.
- Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel.
- Excellent analytical and quantitative skills.
- Exceptional written and verbal communication skills.
- Demonstrated organizational, time management, and project management skills; ability to lead teams and manage multiple projects simultaneously.
- Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment.
- Familiarity with industry best practices in data analytics within the pharmaceutical sector.
- Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.
