Data Engineer - Commercial

Responsibilities Azure Data Factory & Data Bricks Design and develop data pipelines, workflows, and data transformation processes. Integrate various data sources to ensure seamless data flow between systems. Optimize data processing and storage for performance and cost-efficiency. Databases (SQL, PostgreSQL, Azure Databases) Design, implement, and maintain database systems, including PostgreSQL and Azure databases. Monitor and optimize database performance. Implement robust backup and recovery strategies. ETL/ELT Concepts Extract data from various sources. Transform data to meet business requirements. Load data into target systems efficiently. DevOps and Agile Methodologies Implement and manage continuous integration and continuous deployment (CI/CD) pipelines. Use Git for version control and collaboration. Cross-Team Collaboration Work closely with infrastructure teams to ensure seamless integration and deployment. Engage with business partners to understand requirements and deliver solutions in a timely and cost-effective manner. Problem-Solving and Attention to Detail Demonstrate excellent problem-solving abilities and attention to detail. Identify and resolve issues promptly within SLA guidelines, providing ongoing support to business users. Position Responsibilities Design and develop data solutions using Azure Data Factory & Data Bricks – 40% Oversee ETL/ELT processes including management and maintenance of pipelines. Extract, transform, and load data efficiently – 20% Cross-team collaboration and learning new technologies to stay up-to-date – 20% DevOps & Agile methodologies – 10% Commercial business knowledge across systems such as SAP-ERP, Salesforce, Vistex-Rebates, Callidus, Five9, and home-grown master data management tools – 10% Organizational Relationships Interact with business stakeholders to gather integration requirements, understand business processes, and ensure alignment with organizational goals. Collaborate with implementation partners responsible for deploying, configuring, or maintaining integrated solutions within the Zoetis IT landscape. Coordinate with developers and team members to implement integration solutions, share knowledge, and resolve technical challenges. Education and Experience Education Bachelor's/Master's degree in Computer Science or Applications. Experience 1.5–6.5 years of overall experience in Data Engineering. Hands-on experience with 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. Knowledge of data analysis, data modeling, data profiling, and architecting data analytic solutions. Experience with DevOps and Agile methodologies. CI/CD Pipelines: Implement and manage continuous integration and deployment. Version Control: Use Git for version control and collaboration. Agile Practices: Apply Agile methodologies for project management and delivery. Technical Skills Requirements Azure Data Factory Data Bricks ETL/ELT Database Management Python SQL Data Visualization Tools CI/CD Pipelines Physical Position Requirements Regular working hours: 11:00 AM to 8:00 PM IST Occasional EST time zone overlap required during production go-live