200+ applicants

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Company

Original Job Post

W3R Consulting · 1 week ago

Data Engineer

Cincinnati Metro

Contract

Onsite

Mid Level

4+ years exp

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Diversity & Inclusion

Hiring Manager

Laura Grifka, CPSR

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Responsibilities

Responsible for design, development, and support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.

Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the customer.

Act as a technical expert addressing problems related to system and application design, performance, integration, security, etc.

Conduct research and development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.

Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.

Provide support and troubleshooting for data platforms.

Participate in the planning process for hardware and software.

Plan and work on internal projects as needed, including legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation.

Qualification

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SASSQLDataStageSnowflakeAfterhours Production SupportOn-Call RotationData Engineering FundamentalsFunctional Programming LanguageData EngineeringAgile MethodologiesETLRelational Database ModelingData ArchitectureDB2OracleSAS GridFinancial Industry Experience

Required

SAS

SQL

DataStage

Snowflake

Afterhours Production Support

On-Call Rotation

Data Engineering Fundamentals

Functional Programming Language

Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience

At least 6 years of related experience, including at least 4 years in a hands-on data engineering role

Proficient in SQL and Snowflake

Experience in: SAS Grid, Database: Snowflake, DB2 and Oracle Data Engineering, Data Architecture Methodologies: Agile, ETL and development in DataStage

Proficient in relational database modeling concepts and techniques

Solid conceptual understanding of data engineering principles