Sobre esta vaga de Associate Manager - Data Engineer na Beghouconsulting
This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.
We'll Trust you to:
- 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, while assuming responsibility for key data analytics tasks to support internal teams and clients.
- Collaborate with leadership to define project scope, approach, and development strategies.
- Contributes to Beghou’s internal data warehouse build.
- Demonstrates knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices.
- Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
- Independently manage projects, handling client communications, meeting facilitation, and timelines, serving 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 their professional development and encouraging continuous improvement and innovation within the team.
You'll Need to have:
- Bachelor’s or advanced degree with 7 to 9 years professional experience in data engineering using python including use of PySpark.
- Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake.
- Experience working on Databricks platform. Strong expertise in configuring/creating/managing Databricks Unity Catalogs/tables, Databricks SDK, cluster and data pipeline setup and using Databricks AI skills. Experience working with other Databricks components is added advantage.
- Experience working with AI LLM integrations.
- Experience in web application development using Fast API, React JS, CSS/HTML is preferred.
- Experience in designing, developing and managing multiple projects in different platforms.
- Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel.
- Excellent analytical and quantitative skills, with a proven ability to solve complex problems.
- Exceptional communication skills, both written and verbal.
- Demonstrated organizational, time management, and project management skills, with the 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.