Our TOP CLIENT has retained us for a Sr Data Engineer role. They are known and highly recognized for their stability and commitment to a collaborative teamwork environment. Our client is building a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform. Overall, this position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data from data architecture design to on-going data management and will have significant exposure to our Risk and commercial investing teams globally.
REQUIRED:
Must be onsite 3 days a week in the Houston, TX area
Extensive work experience with ETL/ELT frameworks to write pipelines.
Advanced skills in writing highly optimized SQL code.
Experience with Snowflake.
TOP RESPONSIBILITIES:
Execute data architecture and data management projects for both new and existing data sources.
Help transition existing data sets, databases, and code to a new technology stack.
Over time, lead analysis of data sets using a variety of techniques including machine learning.
Manage end to end data ingestion process and publishing to investing teams.
Own the process of mapping, standardizing, and normalizing data.
Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
Help transition existing data sets, databases, and code to a new technology stack.
Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
Actively manage vendors and capture changes in data input proactively.
Properly prioritize and resolve data issues based on business usage.
Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.
Assess gaps in current datasets and remediate.
PREFERRED SKILLS:
Experience in SQL programming, data architecture, and dimension modeling.
Interest and passion for data architecture, analytics, management, and programming.
Experience in energy commodities or financial services required.
Experience in mapping, standardizing, and normalizing data.
Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.
Extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records.
Advanced skills in writing highly optimized SQL code.
Experience with relational databases Snowflake or Oracle is preferred.
Python work experience with Pandas, Numpy and Scikit
Ability to communicate and interact with a wide range of data users - from very technical to non-technical.
Team player who is execution focused, with the able to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.
Strong analytics skills with demonstrated attention to details.
Familiarity with Business intelligence tools Power BI and Tableau.
Interest or experience in machine learning/Artificial Intelligence is a plus.
BENEFITS:
Competitive comprehensive medical, dental, retirement and life insurance benefits
Employee assistance & wellness programs
Parental and family leave policies
CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
Charitable contribution match program
Tuition assistance & reimbursement
Quarterly Innovation & Collaboration Awards
Employee discount program, including access to fitness facilities
Competitive paid time off
Continued learning opportunities
Reach out to me directly if interested:
E: s.murray@jeffersonfrank.com
