Senior Data Engineer (Hybrid) - Databricks, PowerBI & ETL

ZealHire Inc.; Florida; Híbrido; USD 110.000 - 140.000; A tiempo parcial

Descripción de la vacante

ZealHire Inc. in Miramar, FL seeks a Data Engineer focused on data quality and pipeline modernization. You will design data quality frameworks, build ETL/ELT pipelines with Databricks, Python, and SQL, and embed validations into data ingestion.

Collaboration with architects and business stakeholders is essential for scalable solutions. The role requires 5 years in data engineering or related roles and strong skills in SQL, Python, Databricks/Spark, Oracle, and cloud data platforms.

Formación

• Bachelor's degree in CS/Engineering/IS or related field.
• 5 years of experience in Data Engineering or Data Quality roles.
• Strong SQL, Python, Databricks/Spark, Oracle and cloud data platforms expertise.
• Familiarity with Git and CI/CD pipelines.
• Excellent analytical and stakeholder management abilities.

Responsabilidades

• Design and implement enterprise data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting solutions.
• Measure data quality across key dimensions and partner with governance teams.
• Build and optimize ETL/ELT pipelines using Databricks, Python, and SQL.
• Embed data quality checks into ingestion and transformation processes.
• Develop reusable validation components and automated testing.
• Build CI/CD pipelines and collaborate with engineers and stakeholders.

Conocimientos

SQL

Python

Databricks & Spark

Git & CI/CD pipelines

Cloud data platforms

PowerBI

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Herramientas

Databricks

Spark

PowerBI

Oracle

Cloud data platforms

Git

CI/CD pipelines

Descripción del empleo

ZealHire Inc. in Miramar, FL seeks a Data Engineer focused on data quality and pipeline modernization. You will design data quality frameworks, build ETL/ELT pipelines with Databricks, Python, and SQL, and embed validations into data ingestion.

Collaboration with architects and business stakeholders is essential for scalable solutions. The role requires 5 years in data engineering or related roles and strong skills in SQL, Python, Databricks/Spark, Oracle, and cloud data platforms.