Data Engineer

Data Engineer

Who we are:  At Hypergiant, our work is driven by individuals pushing the boundary and always professionally challenging our clients to think differently. We’re seeking individuals who are both analytical and creative and can help us fuel our motto: Tomorrowing Today. We’re based in Texas and have a strong track record of working with some of the biggest brands around the world in industries spanning retail, oil & gas, energy, aviation, healthcare, and more. We provide large enterprises with cutting-edge advice, bespoke technology solutions, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. Our goal is to work with forward-thinking organizations and to help them understand how Artificial Intelligence will affect their business and their industry.

 

We’re looking for a Data Engineer who manages databases and data sets, and performs data transformations and analyses. The Data Engineer works with project teams and data scientists to ensure appropriate reliability, consistency, and performance of data stores as the use case warrants. The Data Engineer helps developers and data scientists optimize queries, and recommends the best storage format/database engine for a given situation. They accept data from clients and track subsequent changes, establish and enforce proper data security measures, and architect, implement, and maintain data recovery procedures and tools.

 

What you’ll do

  • Create and maintain data pipeline architectures.
  • Assemble large, complex data sets for project teams and data scientists. 
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL, and ‘big data’ technologies. 
  • Design and implement automated solutions for common data transfer or transformation tasks. 
  • Build analytics tools that utilize the data pipeline to provide actionable insights. 
  • Work with stakeholders to assist with data ­related technical issues and support their data infrastructure needs. 
  • Keep our data separated and secure across multiple data centers and cloud services. 
  • Create data tools for data scientists that assist them in building and optimizing their models. 

 

Required Qualifications

  • 5+ years in a Data Engineering or similar position.
  • Minimum 2+ years of experience in Dimensional Modeling and Relational Modeling
  • At least 3+ years of experience in Data Warehouse using either Netezza, Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake Schema.
  • Minimum 1+ years of experience in Data Visualization tools like Tableau, PowerBI, Qlik, etc.
  • Minimum 1+ years of API Development experience using either Mulesoft, Swagger, OA3, etc.
  • Knowledge of Informatica would be an added advantage.
  • Hands-on experience in managing large-scale SQL and NoSQL databases.
  • Previous system administration with Linux and Windows.
  • Fluency in one or more scripting languages for data task automation such as Unix shell, Python, Ruby, TCL, or Javascript.
  • Experience in data security and management of PII.

Hypergiant, LLC is an equal opportunity employer. We welcome and encourage diversity in the workplace. We offer a generous benefits package, including company contribution to medical benefits. We offer unlimited PTO. In addition, we offer a fun, flexible work environment, company-sponsored activities, and commit to providing each employee with job satisfaction by addressing core needs. Learn more at hypergiant.com.

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