Sr. Data Analytics Engineer

Houston, TX

Industry: Engineering Job Number: 6029

Job Description

What is the position?
The Sr. Data Analytics Engineer will be responsible for working with data architects, software developers, and analysts to optimize data architecture and flow. 

What will you do?
As a Sr. Data Analytics Engineer, you will:
  • Conceptualize and analyze data pipelines and data architectures, ensuring business requirements are met and identifying acquisition opportunities.
  • Increase efficiency and productivity through the automation of data preparation and integration tasks.
  • Support integrations utilizing various programming languages and tools.
  • Prepare data for predictive and prescriptive modeling.
  • Suggest methods for continuous data improvement.
  • Establish procedures for data mining, modeling, and production.
  • Advocate the organization's analytics and data capabilities to leaders to attain their business objectives. 
  • Uphold data compliance initiatives to guarantee responsible use of provisioned data by users.

What are the requirements?
  • Bachelor's degree in information systems, computer science, or related field
  • 5+ years of experience in data management (data modeling, integration, optimization, etc.)
  • 3+ years of experience working with stakeholders/teams to support data analytics and management 
  • A background working with Oil & Gas equipment data is preferred
  • Experience with analytics tools using Python, Java, C++, Scala
  • Experience with programming languages such as SQL, PL/SQL, etc.
  • Knowledge of NoSQL/Hadoop-oriented databases such as Cassandra, MongoDB, etc.
  • Experience using SQL on Hadooop tools
  • Experience using open-source, commercial message queing technologies such as Kafka, Azure, JMS, Amazon Simple Queuing Service, Service Bus, etc.
  • Experience using stream data technologies such as Amazon Kinesis, Apache Nifi, Apache Kafka Streams, Apache Beam, etc.
  • Knowledge of technologies such as Impala, HIVE, Presto, etc. (open source perspective) and Dremio, Informatica, HDF, Talend, etc. (commercial vendor perspective)
  • Knowledge of agile methodologies
  • Familiar with data analytics & business intelligence software tools such as Tableau, PowerBi, Qlik, etc.
  • Familiar with troubleshooting, generating solutions, and providing solutions to those with minimal technical knowledge
  • Ability to work across many deployment environments and operating systems
  • Ability to optimize data pipelines/ integrated datasets
  • Ability to integrate IT output into business processes 
  • Verbal and written communication skills, attention to detail, and interpersonal skills
  • Willingness to travel (~5%)

You would be really happy working here if:
  • You can strategize, understanding the goals of the company and creating effective plans to achieve those goals.
  • You are left-brained and understand that the devil’s in the details, proactively seeking them out and understanding how they contribute to the whole of a project.

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