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 current 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

📌 Data Engineer - Commercial (Secunderabad)
🏢 Zoetis
📍 Secunderabad