Data Engineer - Commercial

POSITION RESPONSIBILITIES (Percent of Time) 1. Design and Develop Data Solutions using Azure Data Factory & Data Bricks (40%) Create, design, and implement efficient data pipelines, workflows, and transformation processes. Integrate various data sources for seamless data flow between systems. Optimize data processing and storage for both performance and cost-efficiency. 2. Oversee ETL/ELT Processes (20%) Manage and maintain ETL/ELT pipelines. Extract, transform, and load data efficiently from various sources to meet business requirements. 3. Cross-Team Collaboration and Learning New Technologies (20%) Collaborate with infrastructure and development teams to ensure smooth integration and deployment. Continuously learn and stay updated with new technologies in the data engineering domain. 4. DevOps & Agile Methodologies (10%) Implement and manage CI/CD pipelines for seamless deployment. Utilize Git for version control and collaborate with teams for continuous improvement. 5. Commercial Business Knowledge (10%) Understand systems like SAP-ERP , Salesforce , Vistex-Rebates , Callidus , Five9 , and home-grown applications around master data management . Work closely with business stakeholders to ensure solutions align with business needs. ORGANIZATIONAL RELATIONSHIPS Collaborate with business stakeholders to gather integration requirements and ensure alignment with organizational goals. Work with implementation partners responsible for deploying and configuring integrated solutions within the Zoetis IT landscape. Coordinate with developers and other team members to address technical challenges and implement integration solutions. EDUCATION AND EXPERIENCE Education: Bachelor's/Master's degree in Computer Science or related field. Experience: 1.5–6.5 years of experience in Data Engineering . Hands-on experience in Azure Data Factory and Data Bricks . Expertise in Python , Database Management , and ETL/ELT Concepts . Strong analytical skills , excellent communication abilities , and a proactive approach to problem-solving. Familiarity with DevOps and Agile methodologies . Experience managing CI/CD Pipelines and using Git for version control. TECHNICAL SKILLS REQUIREMENTS Azure Data Factory , Data Bricks , ETL/ELT , Database Management (SQL, PostgreSQL, Azure DB). Python , SQL , CI/CD Pipelines , and Visualization Tools . PHYSICAL POSITION REQUIREMENTS Regular Working Hours : 11:00 PM to 8:00 AM IST . Some overlap with EST time zone may be required during production go-live . EMPLOYMENT TYPE Full-Time