Data Engineer - Commercial

POSITION RESPONSIBILITIES

1. Design and Develop Data Solutions using Azure Data Factory & Data Bricks

• 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

• 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

• 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

• 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

• 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:

• 1.56.5 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