Strategic Data Systems, Inc.
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid‑size firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting‑edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
Job Title: Data Engineer III Location: Cincinnati, OH - Madisonville Must Have
5+ years of Datastage experience
5+ years of ETL experience
5+ years of SQL experience
5+ years of Unix/Linux scripting experience
At least 5 years of experience working with relational and non‑relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
Business Intelligence - Data Engineering
Cloud Snowflake Database
Nice To Have
DBT/Snowflake 4–5 years
Strong communications skills
Able to run meetings
Problem solving and critical thinking
Onsite in Cincinnati
ETL (DataStage, DBT)
Microsoft Power BI
Python scripting
What You'll Do Job Summary: Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Design, construct, install, test and maintain data management systems.
Build high‑performance algorithms, predictive models, and prototypes.
Ensure that all systems meet the business/company requirements as well as industry practices.
Integrate up‑and‑coming data management and software engineering technologies into existing data structures.
Develop set processes for data mining, data modeling, and data production.
Create custom software components and analytics applications.
Research new uses for existing data.
Employ an array of technological languages and tools to connect systems together.
Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals.
Install/update disaster recovery procedures.
Recommend different ways to constantly improve data reliability and quality.
Qualifications
Technical Degree or related work experience
Experience with non‑relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Experience programming and/or architecting a back end language (Java, J2EE, etc.)
What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Referral bonuses
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Job Title: Data Engineer III Location: Cincinnati, OH - Madisonville Must Have
5+ years of Datastage experience
5+ years of ETL experience
5+ years of SQL experience
5+ years of Unix/Linux scripting experience
At least 5 years of experience working with relational and non‑relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
Business Intelligence - Data Engineering
Cloud Snowflake Database
Nice To Have
DBT/Snowflake 4–5 years
Strong communications skills
Able to run meetings
Problem solving and critical thinking
Onsite in Cincinnati
ETL (DataStage, DBT)
Microsoft Power BI
Python scripting
What You'll Do Job Summary: Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Design, construct, install, test and maintain data management systems.
Build high‑performance algorithms, predictive models, and prototypes.
Ensure that all systems meet the business/company requirements as well as industry practices.
Integrate up‑and‑coming data management and software engineering technologies into existing data structures.
Develop set processes for data mining, data modeling, and data production.
Create custom software components and analytics applications.
Research new uses for existing data.
Employ an array of technological languages and tools to connect systems together.
Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals.
Install/update disaster recovery procedures.
Recommend different ways to constantly improve data reliability and quality.
Qualifications
Technical Degree or related work experience
Experience with non‑relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Experience programming and/or architecting a back end language (Java, J2EE, etc.)
What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Referral bonuses
#J-18808-Ljbffr