Overview
On Site
Contract - Independent
Skills
Big Data
Extract
Transform
Load
Database
Real-time
Analytical Skill
Writing
Ad Hoc Reporting
Documentation
Software Development
Data Quality
Quality Control
Data Engineering
Regression Testing
Data Analysis
Database Administration
Data Management
Training
Amazon Web Services
Amazon S3
Amazon SageMaker
Apache Spark
Python
SQL
Privacy
Marketing
Job Details
Location: Dallas, TX
Description: Our large, FINTECH client located in Plano, TX is looking for a Big Data Engineer. (Contract/Hybrid)
Responsibilities
Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing.
Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.
Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.
Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client.
Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
Participates in special projects and performs other duties as assigned.
Qualifications
Minimum of eight years data analytics, programming, database administration, or data management experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Looking for expertise in AWS (Glue, Lambda, S3, Athena, SageMaker, IAM, Cloudwatch), Spark, Python, SQL
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Description: Our large, FINTECH client located in Plano, TX is looking for a Big Data Engineer. (Contract/Hybrid)
Responsibilities
Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing.
Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.
Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.
Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client.
Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
Participates in special projects and performs other duties as assigned.
Qualifications
Minimum of eight years data analytics, programming, database administration, or data management experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Looking for expertise in AWS (Glue, Lambda, S3, Athena, SageMaker, IAM, Cloudwatch), Spark, Python, SQL
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
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.