Data Platform Architect: ETL, SQL & Big Data

JBHired; United States; Teletrabalho; USD 120 000 - 190 000; Tempo integral

Resumo da oferta

JBHired seeks a Senior Data Engineer to build the architecture and implementation of the data platform, pipelines and infrastructure. You will work with analytics teams, data scientists and other data warehouse engineers to understand requirements, analyze performance and troubleshoot issues.

Responsibilities include designing scalable ETL packages, data modeling, and enabling migrations across databases. Strong SQL, Shell scripting and governance expertise are required, with exposure to AWS,

Qualificações

• 5+ years of experience in data engineering.
• Experience with enterprise data warehouses and data pipelines.
• Expert in ETL technologies, SQL development and Shell scripting.
• Experience building data models and managing data quality.
• Knowledge of data governance and agile development practices.
• University degree in a quantitative subject.

Responsabilidades

• Design and build the architecture and implementation of the data platform, data pipelines and infrastructure.
• Collaborate with data analytics teams, data scientists and other data warehouse engineers to meet requirements and troubleshoot issues.
• Lead development of scalable ETL packages and data models including facts, aggregates and dimensions; enable data migrations across databases.
• Ensure data governance and data quality across the Data and Analytics department.
• Work with the entire Data and Analytics team to support data-centric needs.

Conhecimentos

ETL technologies

SQL development

Shell scripting

Data modelling

Data governance

Agile development

Cloud computing

Formação académica

Bachelor's degree in a quantitative subject

Ferramentas

MySQL

Microsoft SQL

Oracle

Hadoop

Spark

NoSQL databases

AWS

SSIS

SSRS

SSAS

Power BI

Descrição da oferta de emprego

JBHired seeks a Senior Data Engineer to build the architecture and implementation of the data platform, pipelines and infrastructure. You will work with analytics teams, data scientists and other data warehouse engineers to understand requirements, analyze performance and troubleshoot issues.

Responsibilities include designing scalable ETL packages, data modeling, and enabling migrations across databases. Strong SQL, Shell scripting and governance expertise are required, with exposure to AWS,