Data Engineer

Cleo Consulting
Dallas, TX, United States
28 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Big Data Information Systems Databases Data Files Extract Transform Load (ETL) Data Transformation Data Structures Data Warehousing Relational Databases DevOps Amazon DynamoDB
+16 more
Metadata Microsoft SQL Server MySQL NoSQL Oracle (Applications) Redis Standard Sql SQL Databases Subversion Snowflake Marklogic Git Information Technology Build Process Software Version Control Data Pipelines

Requirements

  • 5+ years’ experience working with data warehousing, IICS and snowflake DBT development.
  • 5+ years’ experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
  • 3 years’ experience working on large data initiatives (>5 terabytes).
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing IICS data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Working knowledge of version control systems (e.g. SVN, Git), * 3+ years of experience in a Data Engineer role, who has attained a bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • AWS: 1 year experience
  • DevOps Practices: 1 year experience
  • 3+ years’ experience working with data warehousing, ETL development and ETL architecture.
  • 3+ years’ experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
  • 3 years’ experience working on large data initiatives (>5 terabytes).

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