Data Engineer

Job Summary

As a Data Engineer, you'll play a crucial role in designing, implementing, and maintaining robust data infrastructure to support our organization's analytics and business intelligence needs. Your expertise will drive the development of efficient data pipelines, ensuring the reliability, accessibility, and security of our data assets. Join our team to contribute to the advancement of our data-driven initiatives and propel our organization towards greater insights and innovation.

What Youll Do

• Data Management

  : Execute data management tasks including data ingestion, transformation, and storage, ensuring data accuracy and integrity throughout the process.

• Data Modeling

  : Develop and maintain data models to organize and structure data effectively for analytical purposes, optimizing query performance and data accessibility.

• ETL Development

  : Design, develop, and optimize ETL (Extract, Transform, Load) processes to facilitate data movement and integration across systems, ensuring timely and accurate data delivery.

• Azure Administration:

  Administer Azure environments, focusing on performance optimization and leveraging Azure services such as ADLS, BLOB, ADF, and Data Bricks.

• CI/CD Implementation:

  Implement CI/CD practices within Azure environments, utilizing GIT for code management and conflict resolution.

• Collaborative Project Execution:

  Work closely with cross-functional teams to ensure seamless integration of data engineering solutions and contribute to project success.

Experience You'll Need:

• Qualifications

  : Bachelor's degree in Computer Science, Information Technology, or a related field with 2-4 years of experience as a Data Engineer.

• Data Engineering

  : Demonstrated understanding of Data Warehouse (DWH) and Data Lake concepts, with hands-on experience in implementing and managing these systems.

• SQL & Database :

  Intermediate to advanced level proficiency in SQL & database design.

• Azure Data Engineering:

  Demonstrated knowledge in Azure Data engineering using Python, showcasing the ability to leverage Azure services for effective data processing and analysis.

• Audit, Control & Balancing Knowledge:

  Extensive understanding of Audit, Control, and Balancing principles, ensuring data integrity and compliance within Azure environments.

• Data Modeling Skills:

  Strong working experience with Dimensional and 3N data models, demonstrating the ability to design and implement optimized data structures.

What You’ll Bring to the Table:

• Collaboration Skills

  - Collaborate effectively with onshore and offshore development teams, business analysts, and product owners.

• Project Ownership Mindset

  - Demonstrate a sense of ownership for project completion and the overall quality of the delivered software.

• Problem-solving Skills

  Demonstrated ability to approach challenges with a problem-solving mindset, driving innovative solutions and process improvements.

• A Self-Starter Mentality:

  Taking initiative and independently driving impactful projects forward within a fast-paced environment.