Business Intelligence (BI) Engineer

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 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 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.

Key Responsibilities

• Dashboard and Report Creation: Developing interactive, visually appealing, and insightful dashboards and reports using BI tools like Power BI, Tableau, Qlik, Tableau.

• Self-Service Analytics Enablement: Empowers business users with self-service analytics capabilities by creating curated datasets and intuitive dashboards in BI, often sourcing data from Fabric, Cloudera and Databricks.

• ETL/ELT Tools: Proficiency with tools that automate data integration, such as Airflow, Ni-Fi, Azure Data Factory.

• Data Modelling & Warehousing: Designs and implements datasets, stored procedures, views in data warehouses within MS Fabric's, Synapse, Cloudera etc to support efficient and scalable reporting.

• BI Platform Modernization: Leads the migration of reporting and analytics workloads from legacy systems.

• Data Quality and Governance: Implementing processes to ensure data is accurate, consistent, and reliable. This includes data validation, cleaning, and documenting data lineage.

• Performance Optimization: Monitoring and tuning the performance of queries, data pipelines, and dashboards to ensure they run efficiently.

• Provide User Training & Adoption: Drives the adoption of new BI tools and platforms through user training, documentation, and evangelism within the organization.

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 Expertise

• 4-6 years of experience as an Business Intelligence (BI) Engineer
• SQL: Expert-level proficiency in SQL
• BI & Visualization Tools: Deep experience with at least one major platform like Microsoft Power BI, Tableau, Qlik.
• Data Warehousing: Hands-on experience with modern cloud data warehouses such as Cloudera, MS Fabric, Datawarehouse
• ETL/ELT Tools: Proficiency with tools that automate data integration, such as dbt (Data Build Tool), Ni-Fi, Airflow, or Azure Data Factory.
• Data Modelling: Understanding of data modelling techniques (e.g., Kimball, Inmon) and concepts like dimensional modelling.
• Programming (Python): Knowledge of Python

Preferred Technical and Professional Experience

• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

Being You

Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.