Unlocking Data Potential

Unlock Your Potential as a Data Engineer

A role that lets you harness the power of data to drive innovation and growth.

The Role

Imagine working at the forefront of the data revolution, crafting and shaping data platforms that power your organization's success. As a Data Engineer, you'll be the visionary behind our data platforms, transforming raw data into actionable insights that drive strategic decisions and innovation.

As a mastermind of data transformation, you'll engineer the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll uncover quality issues and initial insights, setting the stage for data excellence.

You'll delve into the depths of information to craft data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work will be the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful.

So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering.

Your Journey Begins Here

Every position at our organization offers a way forward to grow your career. We have opportunities that let you broaden your knowledge base or specialize in a specific sector. Whether you want to certify in all four major platforms or gain hands-on experience, you can find your opportunity here.

What We Look For

We're looking for someone who is good at what they do and has the required experience to prove it. A growth mindset is equally as important, as is being customer-focused and naturally inclusive in how you work with others.

Required Skills and Qualifications

• 5-10 years of hands-on experience in SQL Server Development.
• Expertise in writing and optimizing complex T-SQL queries and stored procedures.
• Experience with cloud-based database technologies (Azure PAAS DB, AWS RDS and NoSQL).
• Familiarity with automations of ADF pipelines , Scheduling the jobs, batch and realtime data processing.
• Expertise in Azure Synapse Analytics, keyvault, Eventhubs.Azure Functions and logic apps.
• Experience with monitoring and diagnostic tools (SQL Profiler, Extended Events, etc).
• Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes.
• Experience in data pipelines management both on AWS and MS Azure.
• Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB.
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail.
• Communication Skills: Must be able to communicate with both technical and nontechnical colleagues, to derive technical requirements from business needs and problems.

Preferred Technical and Professional Experience

• Experience working as a Data Engineer and/or in cloud modernization.
• Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes.
• Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization.
• Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: (DP-203)Azure Data Engineer Associate.
• Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio.
• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.