Azure Data Engineer

Job Description

The Role

Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.

As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.

In this role, you'll be engineering 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 be the mastermind of data transformation.

Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataseta 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 isn't just a means to an end; it's 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 at Kyndryl. Let's transform data into a compelling story of innovation and growth.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You Are

You're good at what you do and possess the required experience to prove it. However, equally as important you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused someone who prioritizes customer success in their work. And finally, you're open and borderless naturally inclusive in how you work with others.

Required Technical and Professional Experience:

- 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.

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