Job Details

ID #45956143
State Ohio
City Cincinnati
Job type Contract
Salary USD Depends on Experience Depends on Experience
Source Javen Technologies, Inc
Showed 2022-09-24
Date 2022-09-23
Deadline 2022-11-21
Category Et cetera
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Lead Data Engineer

Ohio, Cincinnati, 45201 Cincinnati USA

Vacancy expired!

Technical skills:Must Have:

DATA ENGINEERING

SQLNice To Have:Experience in Data Movement Tools: NiFi, Denodo Data Virtualization, Real-time data processing: Kafka, Database: Snowflake, Data Engineering, Data Architecture Methodologies: Agile, API design and development. JOB SUMMARYLead Data EngineerJOB DESCRIPTIONMUST HAVE -

Be willing to come into the downtown office Wednesday and Thursdays (subject to change). Strong data engineering fundamentals and proficient in SQL. Be a team player in a highly collaborative environment. Looking for someone who is a good problem solver that can be given a data problem and have the mindset to solve/solution the design. Work with the agile squad to design and develop the solution in cloud technology: NiFi, Denodo and Snowflake. Data movement, data integration, and ETL. General Function The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.

Minimum Knowledge, Skills And Abilities Required:Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.At least 6 years of related experience, including at least 4 years in a hands-on data engineering role.Proficient in SQLExperience in Data Movement Tools: NiFi, Denodo Data Virtualization, Real-time data processing: Kafka, Database: Snowflake, Data Engineering, Data Architecture Methodologies: Agile, API design and development.Proficient in relational database modeling concepts and techniques.Solid conceptual understanding of data engineering principles.Financial industry experience is a plus.

Vacancy expired!

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