Azure Synapse ETL Engineer - PySpark Expert

Bluelightconsulting

Mar del Plata

A distancia

ARS 180.000 - 280.000

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

Bluelight is expanding its data engineering team in Argentina, seeking an ETL Data Engineer to design, develop, and maintain data pipelines using Python (PySpark) and Azure Synapse Analytics. You will partner with data scientists and analysts to ensure accurate, timely data for insights, while implementing data quality, modeling, and governance across data flights in a fast-paced environment.

We value collaborative problem-solvers and clear communication to deliver scalable data platforms that

Formación

Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with Azure Data Engineer certifications being a plus.
Proven experience in ETL data engineering with Python (PySpark) to extract, transform, and load from REST APIs, SQL databases, and CSV files.
Proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
Demonstrated ability to write complex SQL queries, optimize query performance, and work with SparkSQL and MS SQL.
Knowledge of data integration best practices and tools.
Experience with version control systems, such as Git (Azure DevOps).
Strong problem-solving and analytical skills, with a keen attention to detail.
Excellent communication and teamwork in fast-paced environments.
Familiarity with big data, machine learning, and data visualization tools (Power BI, Tableau) is a plus.

Responsabilidades

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
Monitoring and Troubleshooting: Monitor ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
Security and Compliance: Ensure data security and compliance with data governance and privacy standards.