200+ applicants

Company

Original Job Post

Brooksource · 3 days ago

Senior Data Engineer

Austin, Texas Metropolitan Area

Full-time

Hybrid

Senior Level

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Responsibilities

Design, implementation and management of data processing systems dealing with large data sets.

Proficiency in, at least, one modern programming language such as Python, Java or Scala.

Hands-on experience and advanced knowledge of SQL.

Knowledge of data management fundamentals and data storage principles.

Knowledge of distributed systems as it pertains to data storage and cloud computing

Experience working with Open-Source Big Data tools (Hadoop, Spark, Hive, Presto and etc.)

Qualification

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Data Processing SystemsProgramming PythonProgramming JavaProgramming ScalaSQLData ManagementDistributed SystemsCloud ComputingOpen-Source Big Data Tools HadoopOpen-Source Big Data Tools SparkOpen-Source Big Data Tools HiveOpen-Source Big Data Tools PrestoData EngineeringDatabase EngineeringBusiness IntelligenceBusiness AnalyticsAWS Big Data TechnologiesOraclePostgreSQLSQL ServerMySQLVisualization ToolsTableauPower BIAgile MethodologiesCoding StandardsCode ReviewsSource ManagementBuild ProcessesTesting

Required

Design, implementation and management of data processing systems dealing with large data sets.

Proficiency in, at least, one modern programming language such as Python, Java or Scala.

Hands-on experience and advanced knowledge of SQL.

Knowledge of data management fundamentals and data storage principles.

Knowledge of distributed systems as it pertains to data storage and cloud computing

Experience working with Open-Source Big Data tools (Hadoop, Spark, Hive, Presto and etc.)

Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)

Preferred

Experience in working and delivering end-to-end projects independently.

Relevant experience in one of the following areas: Data engineering, database engineering, business intelligence, or business analytics.

Experience working with AWS Big Data Technologies (AWS Glue, EMR, Athena, Ec2, Redshift and S3 etc.)

Experience working with Oracle, PostgreSQL, SQL Server or MySQL.

Experience working with visualization tools such as Tableau and Power BI.

Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations