Data Engineer

Need a strong Datastage Developer – Fully On-Site position

Must Haves:

Nice To Have:

• Linux • Oracle • Snowflake • Tomcat

JOB DESCRIPTION

Must be willing to come to the office daily.
Strong data engineering fundamentals and proficient in SQL and Datastage.
Be a team player in a highly collaborative environment and a willingness to learn.
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.
Need to be attentive to details and quality of work.
Work with the agile squad to design and develop the solution in technology: Datastage, Snowflake, DB2, Oracle.
Data movement, data integration, ETL and testing.
Platform skills: Linux, Tomcat would be nice to haves.
Working on a team to modernize how we ingest data and optimizing Datastage ETL.

Job Summary:

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and 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.

Primary Responsibilities:

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)

Datastage