Data Engineer - SQL/Python (5-8 yrs)

Key Responsibilities :

- Develop and implement data governance policies and procedures to ensure data quality, accuracy, consistency, and compliance with relevant regulations.

- Design, develop, and optimize data pipelines for ETL processes using cloud services like AWS, ensuring data security and access controls.

- Collaborate with various stakeholders, including data scientists, analysts, and business units, to understand data requirements and drive decisions.

- Monitor data quality metrics, conduct regular data audits, and address data issues promptly to maintain data integrity.

- Provide technical leadership and consultancy to ensure cloud solutions align with Enterprise IT architecture, and review system designs for cost-effective solutions.

- Implement and manage data integration and migration projects, ensuring seamless data flow across systems and maintaining comprehensive data catalogs.

- Stay current with emerging data engineering technologies and best practices, and document data engineering processes and standards.

- Develop deep expertise in cloud platforms and technologies, assist with life cycle management, and ensure coding standards are followed by External Service Providers.

- Help establish a DevOps culture to improve the quality, security, and stability of cloud solutions, and identify synergies for efficiency and cost savings.

- Ensure compliance with data privacy regulations (eg: GDPR/ CCPA), manage data access and permissions, and oversee the lifecycle of data from creation to archiving.

Qualifications :

- Bachelor's or master's degree in computer science, data sciences, Information Technology, or a related field.

- Proven experience as a Data Steward, Data Manager, or Data Engineer, preferably in a cloud environment.

- Strong business analysis skills and experience within pharma sales/commercial operations.

- Ability to use analytics to drive meaningful insights.

- Strong experience with Agile Development, CI/CD, Jenkins, GitHub, Automation platforms.

- Strong analytical and problem-solving abilities.

Technical Experience :

- Must Have : SQL, Python/PySpark, AWS Data Services such as Glue, Athena, Data Engineering

- Good to Have : Power BI/Tableau, PL/SQL, Agile.