Overview
Remote
On Site
Contract - W2
Skills
Management consulting
Software development
Python
RDBMS
Data warehouse
Cloud computing
Generative Artificial Intelligence (AI)
Amazon Web Services
Data engineering
Amazon S3
Data Analysis
Data mining
SAS
SPSS
MATLAB
R
Stata
Microsoft Excel
Big data
Apache Hadoop
Apache HBase
CouchDB
Apache Hive
Apache Pig
Teradata
Oracle
MySQL
Informatica
Qlikview
Reporting
Business intelligence
SQL
PL/SQL
Unix
Shell scripting
Data modeling
Design patterns
Agile
Innovation
Analytical skill
Problem solving
Customer focus
Leadership
Communication
Management
MEAN stack
Customer service
Training and development
SAP BASIS
Job Details
One of SGA's premier Management Consulting clients is looking for a REMOTE Data Engineer for a long-term contract/consulting position. This is a role for an intermediate-senior level hands-on Engineer (5-7 years' experience preferably). This Engineer will join a team working on building data pipelines utilized by data scientists and other consumers for building out GenAI/RAG (Retrieval-Augmented Generation) based solutions and systems.
Required Skills:
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Required Skills:
- Experience in software development.
- Strong proficiency in Python coding and capable of building data pipelines that can ingest data from various sources (legacy RDBMS/data warehouse, AWS/Cloud, Big Data/Hadoop, etc)
- Experience with GenAI RAG tools such as OpenAI, Chat GPT, or anything proprietary/similar used in an enterprise space.
- Experience with AWS and related tool/solution sets for Data Engineering (S3 Buckets, etc)
- Proficiency in statistical data analysis and data mining packages SAS, SPSS, MatLab, R, STATA, Excel, etc. Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc.
- Worked with TeraData, Oracle, MySQL, Informatica, Tableu, QlikView or similar reporting and BI packages.
- Used SQL, PL/SQL and similar languages, UNIX shell scripting.
- Experienced with data modeling, design patterns, building highly scalable and secured solutions.
- Knowledge of agile software development process and familiarity with performance metric tools.
- Demonstrate enthusiasm, influence and innovation.
- Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data.
- Distinct customer focus and quality mindset.
- Ability to work at an abstract level and gain consensus.
- Ability to see from and sell to multiple viewpoints.
- Excellent interpersonal, leadership and communication skills and the ability to work both independently and in various team settings.
- Ability to work under pressure with a solid sense for setting priorities.
- Ability to manage own learning and contribute to domain knowledge building.
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.