Anteriad · 1 week ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Create and maintain optimal data pipeline architecture.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Work with data and analytics experts to strive for greater functionality in our data systems.

Qualification

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Data EngineeringETLSQLRelational DatabasesData PipelinesRoot Cause AnalysisData TransformationMetadata ManagementProject ManagementScriptingShell ScriptingData WarehousingETL Processing SystemsProblem-SolvingOrganizational SkillsTeamworkPythonJavaCloud ServicesEC2EMRRDSRedshift

Required

Experience in Data engineering work around Data Integration / ETL

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 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

A successful history of manipulating, processing and extracting value from large disconnected datasets

Strong project management and organizational skills

Experience supporting and working with cross-functional teams in a dynamic environment

5+ years of experience in a Data Engineer role

Bachelors or Masters degree in Computer Science, Information Systems or related field

Proficient in scripting SQL and shell

Experience with Data warehousing concepts

Experience designing, building, and maintaining data (ETL) processing systems