Data Engineer

Responsibilities Of The Role:

Understand the business requirements and convert into technical design of data pipelines and data models

Write code to ingest, transform and harmonize raw data into usable refined models

Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation

Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.

Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.

Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.

Demonstrate standard coding practices to ensure delivery excellence and reusability

What We Offer:

A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don’t just offer a job; we offer a career with varying assignments and lots of development opportunities

An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.

Travel opportunities to the project locations to see your design come to life

Continuous coaching– you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager

Dynamic and respectful international work environment– employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.

A competitive compensation package, in line with your qualifications and experience

Role Requirements:

At least 3 years of experience in Data Engineering

Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.

Hands-on experience in scripting language like Python, R or Scala

Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud

Hands-on experience of reporting tools like Power BI or Tableau

Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)

Knowledge in cloud technologies (Azure Cloud) – at least 2 years inclusive of software engineering experience.

Cloud Native application development using Angular and .Net.

Knowledge in Agile or Scrum methodologies with proven track record of successful projects

Graduate of Engineering or IT related course