Data Engineer

CG Infinity•Houston, TX

About The Position

CG Infinity, Inc. is a technology consulting firm founded in 1998, offering tailored solutions to clients. They work closely with clients throughout the entire process to provide solutions for a myriad of challenges. Their culture is a people-first approach to technology, offering best-in-class service and customer success rates. Key services include Salesforce Implementations, Customer Experience & CRM, Application Development & Integration, Production Support & QA, and Data Analytics & AI.

Requirements

2 to 6+ years of data engineering and/or data warehousing experience.
Experience building cloud data solutions (Azure, AWS, GCP, Snowflake) and migrating from on-prem to cloud.
Hands-on experience with big data application development and/or with cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, Big Query).
Hands-on experience with BI solutions (e.g., PowerBI, Looker, Tableau, or other format for reporting).
Experience implementing a variety of data warehousing concepts, methodologies, & best practices (e.g., Incremental, SCD, Star Schema, etc.).
Proficient in a relevant programming language for cloud platform e.g., Python/Java/C#/Unix as well as SQL.
Working experience with version control platforms e.g., Git.
Strong communication skills and a working knowledge of agile development, including DevOps concepts.

Nice To Haves

Oil & Gas or Retail Energy industry experience highly preferred.

Responsibilities

Design and develop the solution architecture for cloud data-enabled solutions and analytical platforms.
Research, analyze, and recommend technical approaches for solving clients' complex data-related development and integration problems.
Engage effectively with client stakeholders and delivery teams to align technical solutions to desired client outcomes.
Assist in designing multi-phased cloud data strategies, including crafting multi-phased implementation roadmaps.
Design and develop scalable data ingestion frameworks to transform a variety of datasets.
Gather technical requirements, assess client capabilities, and analyze findings to provide appropriate cloud solution recommendations and adoption strategy.
Be deeply involved in designing and deploying end-to-end solutions with a cloud platform’s analytic services.
Conduct and participate in white-boarding sessions, workshops, and project meetings in support of data-enabled solutions.
Design & develop data models in support of BI/Analytics solutions.

Benefits

Flexibility to select benefits based on personal preference, family situation, and financial objectives.
Voluntary packages, such as additional Life.
FSAs (Flexible Spending Accounts).
Safe Harbor 401k plan with employer match (100% of the first three percent and 50% of the fourth and fifth percent).
Immediate 100% vesting in the 401k retirement plan.

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