Data Engineer 1

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Data Engineer Business Intelligence

This is a great opportunity to work with a strong and cohesive technical team with an Employer of Choice in the Houston market!

Location: Hybrid (3-4 days in office) in the Houston Texas area (Candidates must be local)

Work Authorization: U.S. Citizenship required

Job Type: 6-month contract role with the possibility of being extended to 12-18 months

Pay Range: up to $60.81/hr

We are seeking a Data Engineer Business Intelligence to join its Retail Business Intelligence team to strengthen the BI capabilities of the retail division. The position requires 4 years of data management modelling and BI experience. The successful candidate will possess a strong data modeling data visualization background and will provide expertise and best data engineering practices. The candidate should have a demonstrable record of being able to interact effectively with business stakeholders in all functional areas to gather and understand business requirements and reporting needs. Ability to learn new technologies welcome challenges accept new responsibilities work well as individual and as a team and adapt quickly is essential.

Essential Duties/Responsibilities:

Gather large and complex data sets to meet business requirements.

Re-designing data marts for scalability and optimization.

Ensure data architecture supports existing and future requirements of evolving business model

Identify design and implement process improvements: automating manual processes optimizing data delivery re-designing infrastructure for greater scalability etc.

Create and maintain documentation for each step in the data lifecycle

Develop and maintain operational dashboard and executive-level reporting using tools like Tableau or Power BI

Interact with functional business units to analyze gather and prioritize business and reporting requirements

Partner with the Enterprise Data and Analytics leaders and teams to manage the key data processes tools and architectures needed to deliver confidence in regular reports.

Collaborate with Enterprise Data and Analytics team to implement data management data quality best practices and standards

Partner with business leaders to develop monitor and report on marketing tests for new or enhanced products and campaigns

Provide ad hoc report for Retail organization for experiments in market.

Hands on development of data models in Oracle AWS and data visualizations.

Formulate and provide status updates on project plans and schedules to meet goals/objectives

Working Conditions:

Hybrid work: Working 3-4 days a week in the office.

Some overtime may be required as special projects arise or daily operations dictate

Additional Knowledge Skills and Abilities:

Ability to manage multiple priorities while committed to deadlines and work overtime when required

Proficient in effectively communicating to a wide range of audiences both written and oral

Self-starter with strong work ethic

Ability to evaluate and learn modern technologies quickly

Strong data due diligence skills ensuring data accuracy and reliability

Requirements:

Minimum Requirements:

Bachelors degree in computer science Computer Engineering Information Systems or related discipline/experience with 4 years of experience or masters degree in computer science Computer Engineering Information Systems or related discipline/experience with 3 years

Retail utility industry experience is required

Local candidates only due to a 4-day in-office requirement

Hands on experience in one of programming languages like SAS/R/Python is a must.

4 years of professional experience in business intelligence and data analysis

3 years of SQL experience.

3 years of programming experience.

Experience with dimensional modeling and improving data reliability and data quality.

Good understanding of cloud technologies with 1 years hands on experience in AWS and big data distributed ecosystems.

2 years hands on experience in databricks and GCP

2 years experience with any one of visualization tools like Tableau/Power BI.

Good understanding of relational and non-relational databases

Experience working with large datasets.

Preferred Qualifications:

Gas or power industry experience with knowledge of the retail electricity market.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

A successful history of manipulating processing and extracting value from large disconnected datasets.

Strong organizational skills and comfort interacting with different lines of business IT and senior management

Comfortable with ambiguity; ability to work with incomplete data or open-ended questions and translate into actionable items

Data Engineer Business IntelligenceThis is a great opportunity to work with a strong and cohesive technical team with an Employer of Choice in the Houston market!Location: Hybrid (3-4 days in office) in the Houston Texas area (Candidates must be local)Work Authorization: U.S. Citizenship requiredJob...