Data Engineer

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your role and responsibilities

Role Profile

We are currently seeking a Data & Analytics Principal Consultant to become a member of Neudesic’s Data & AI team. This role will report to a Regional Practice Director of Data & AI. We’re looking for candidates who have been working with data from various platforms. Candidates should have a solid understanding of Data Warehouse architecture and key concepts and working hands-on gathering requirements, assisting with design, data transformation, development, testing and implementation. Delivering solutions for customers in a consultant / contract capacity is a plus as we work in a fast-paced environment.

Technically, the ideal candidate has a strong background with the Microsoft BI Stack (SQL, SSIS, SSAS, SSRS) as these have been the foundational tools we’ve used for 15 years. In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services.

From a business perspective, we look for candidates who can engage our customers to understand requirements and become thought leaders on how we should apply technology solutions to solve business problems. Building effective customer relationships must happen at every level for us to be successful.

Responsibilities

• Working as part of a team, you’ll be responsible for working in various areas of an implementation. We’re looking for candidates who can not only complete the task at hand, but for those who can bring thought leadership and their own past experience to the work as well.
• Leverage Neudesic’s Intellectual Property on implementations and become a thought leader on how we can continue to improve our capabilities resulting in efficient and consistent delivery for our customers.
• Learn the customer’s business and be proactive about how we can further their success with the solutions we deliver.
• Build relationships with your team and the customer to create a healthy work environment.

As of February 9, 2022, Neudesic has been acquired by IBM and is now being integrated into the IBM organization. As a result, your recruitment process will be managed by IBM, which will also be the hiring entity.

This role can be worked from anywhere in the US

Required technical and professional expertise

Qualifications

• A minimum of 10 years’ experience in consulting or contracting to deliver Data & Analytics solutions for customers.
• A minimum of 10 years working with the Microsoft BI Stack (SQL, SSIS, SSAS, SSRS) and at least some experience working with the Azure services mentioned above. Candidates will need to complete a technical screen in the areas where you have experience to demonstrate your understanding of architecture, concepts and your level of expertise using various tools.
• Excellent oral, written and presentation skills.

Technology Requirements

• Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
• Azure DevOps, Continuous Integration / Development pipelines.
• On Premise: SQL Server, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS). Fewer implementations today, but experienced candidates have a solid foundation in the Microsoft BI stack.

Preferred technical and professional experience

Technology Plus

• Microsoft Azure Certified - Azure Data Engineer
• Experience with Predictive Analytics, Machine Learning, Artificial Intelligence
• Experience with front-end tool implementations (Tableau, Qlik, Spotfire, etc.)
• Experience with Amazon Web Services (AWS), Google Cloud Platform (GCP)

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.