Description:

• Design and development of ETL pipelines, data models, queries, scripts and maintenance procedures.

• Identify opportunities to optimize performance from "end to end" perspective.

• Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver enterprise data solutions. Collaborate with foundational solution functional teams, vendors, and technology support teams to build and deliver solutions on business initiatives.

• Delivery solutions through a minimum viable product (MVP) and subsequent iterative cycles of development.

• Prepare and maintain design and architectural documents for management and development teams.

• Design and develop Cloud-based infrastructure batch ETL processes.

• Build multi-dimensional databases and data marts.

• Participate in the development of data management policies, standards, and procedures. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

• Interface across several business areas, proactively assisting in defining project direction with business stakeholders.

• Communicate complex technical information to project stakeholders, including those without a technical experience to capture non-functional requirements.

Required Skills:

• Hands on development experience in one or more of the following: SQL, Python, Spark, Cloud-based ETL tools.

• Expertise in development of ETL interfaces, Data Warehouses, Data Lakes, and Analytics solutions.

• Experience with Azure Data Factory, Azure Databricks and Snowflake highly preferred (similar cloud technology experience also considered).

• Demonstrated technology and personal leadership experience in designing and building highly scalable cloud-based data solutions.

• Enterprise scale knowledge of data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.

• Knowledge and experience in modern data integration frameworks, highly scalable distributed systems, and emerging data architecture designs/patterns.

• Strong knowledge of Operational, Analytical, Master, and Reference data models.

• Experience with Data visualization tools such as PowerBI is preferred.

• Experience with Agile methodologies as well as waterfall development.

• Experience in DevOps, CI/CD technologies is desirable.

Additional Skills & Qualifications:

Required Experience:

• Bachelor's degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, Data Science.

• Experience with large and complex systems in a financial institution with data solution architecture, design, and development delivery experience. Preferably 5+ years of experience

• Expertise in data warehousing, Building Operation Databases, Data integration and Development design patterns.

• Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer.

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.