Solutionec - Data Engineering Architect - Informatica/Azure Data Factory

3 weeks ago


Bangalore, Karnataka, India Solutionec Pvt Ltd Full time

We are seeking a seasoned Data Engineering Lead to join our team, focusing on leveraging data to drive strategic decisions within the pharmaceutical industry. The ideal candidate will possess a deep understanding of SQL Server, Snowflake, ETL technologies, and pharma datasets, along with proven experience in designing database architectures and leading a team of database engineers.

Key Responsibilities :

- Design and implement robust database architectures to integrate multi-source data, ensuring reliability, scalability, and performance.

- Lead and mentor a team of database engineers in the development and optimization of ETL processes using technologies such as Informatica, Alteryx, Azure Data Factory (ADF), and Talend.

- Develop and maintain a deep understanding of pharma datasets, including market data, CRM data, promotional data, and prescription data, to support data-driven decision-making.

- Collaborate with cross-functional teams to understand data needs and deliver solutions that align with the organization's strategic goals

- Ensure data integrity and compliance with industry standards and regulations.

- Drive the adoption of best practices in data management, quality, and governance within the team and across the organization.

- Stay abreast of the latest trends and technologies in data engineering and introduce innovative solutions to enhance business outcomes.

Requirements :

- Design and implement robust database architectures to integrate multi-source data, ensuring reliability, scalability, and performance.

- Lead and mentor a team of database engineers in the development and optimization of ETL processes using technologies such as Informatica, Alteryx, Azure Data Factory (ADF), and Talend.

- Develop and maintain a deep understanding of pharma datasets, including market data, CRM data, promotional data, and prescription data, to support data-driven decision-making.

- Collaborate with cross-functional teams to understand data needs and deliver solutions that align with the organization's strategic goals.

- Ensure data integrity and compliance with industry standards and regulations.

- Drive the adoption of best practices in data management, quality, and governance within the team and across the organization.

- Stay abreast of the latest trends and technologies in data engineering and introduce innovative solutions to enhance business outcomes.

(ref:hirist.tech)
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