Job Details

Senior Big Data Engineer

Houston, Texas, United States

Only W2 candidates.

Experience/Minimum Requirements

At least six (6) to eight (8) years of experience in in a data engineering role or related specialty with demonstrated ability in data modeling

At least two (2) years Data engineering experience on the Microsoft Azure, Amazon Web Services (AWS), or Snowflake

Experience using Extract, Transformation and Load (ETL) tools with Informatica (IICS) to build automated data pipelines

Experience with object-oriented/object function scripting languages: Python, Java, C++

Other Skills/Abilities

Thorough understanding of relational, columnar and NoSQL database architectures and industry best practices for development

Understanding of dimensional data modeling for designing and building data warehouses

Excellent advanced SQL coding and performance tuning skills

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with parsing data formats such as XML/JSON and leveraging external APIs

Understanding of agile development methodologies

Ability to work in a team-oriented, collaborative environment; good interpersonal skills

Strong analytical and problem-solving skills; ability to weigh various suggested technical solutions against the original business needs and choose the most cost-effective solution

Keen attention to detail and ability to access impact of design changes prior to implementation

Self-driven, highly motivated and ability to learn quick

Ability to effectively prioritize and execute tasks in a high-pressure environment

Strong customer service orientation

Ability to present and explain technical information to diverse types of audiences in a way that establishes rapport and gains understanding

Work experience with geospatial data and spatial analytics is preferred

- provided by Dice

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