MTC Talent is proud to recruit on behalf of Eastbanc Technologies.  www.eastbanctech.com

EastBanc Technologies creates flexible solutions to match evolving business needs. We work with our partners to adapt all known cutting-edge technology. If the right solution isn’t available, we custom-build it to ensure enduring and scalable success. Where required, we can implement the most difficult and technically challenging ideas, but we are at heart, a small, human-centric business that cares about every client and seeks to provide simple solutions. Complexity made simple. We challenge norms, we challenge ourselves, we dive into uncharted waters headfirst. This is Innovation-as-a-Service.

Eastbanc Technologies (EBT) develops innovative member and team member experiences that leverage the latest technologies in open source and the Cloud.  Digital Information Management (DIM) is a team of engineers committed to championing a data-driven decision-making culture and meets the business demand for timely insight-focused analytics and information delivery.

Do you want to make a difference and not have your creativity get lost in the corporate machine?  Want to make a real impact in real time and be recognized for your contributions?  If so, then Eastbanc Technologies wants YOU!   Eastbanc Technologies has a need for an Azure Data Engineer that is a hybrid role, but could be remote with quarterly travel for the right skill and experience match.

The Azure Data Engineer works with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.  You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development.  You must be a hand-on technologist passionate about learning new technologies and helping to improve the ways we can better leverage Advanced Analytics and Machine Learning.

Specific Duties:

• Build end-to-end direct capabilities.
• Write scalable code with Python programming language.
• Build, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources 
• Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
• Derive insights to differentiate member and team member experiences. 
• Collaborate with cross-functional teams.
• Analyze and define with product teams the data migration and data integration strategies.
• Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
• Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights. 
• Integrate source systems with information management solutions and target systems for automated migration processes.
• Create proof-of-concepts to demonstrate viability of solutions under consideration.

• Bachelor’s degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
• 3+ years of strong experience designing and building reusable, scalable software solutions/components in data engineering field with Python language
• Expert knowledge in SQL
• Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
• Design-thinking & excellent verbal and written communication skills 
• Effective experience working with all levels of staff, management, stakeholders, vendors
• Experience eliciting and documenting requirements
• Advanced skill building effective relationships through rapport, trust, diplomacy, and tact

Icing on the cake:

• 2+ years of data engineering experience with Azure data services, including Azure Data Factory, Databricks, Azure Storage (ADLS Gen2), and Azure SQL; or their AWS/GCP equivalents. 
• Experience in analytical and data visualization tools and techniques (Power BI preferred)
• Experience in modeling and quantification concepts including statistics and probability principles
• Experience with Azure Analysis Service data modeling in Visual Studio/SSDT (SQL Server Data Tools)               
• Working knowledge of banking/financial industry standards and practices

Eastbanc Technologies and MTC Talent are EEO employers.

All your information will be respected and handled according to EEO guidelines and all applicable laws.