Data Engineer, Azure - Remote, Latin America

Bluelight Consulting LLC; Guanajuato; A distancia; MXN 520.471 - 867.453; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Continuing education and training

Descripción de la vacante

Bluelight Consulting LLC is seeking a skilled ETL Data Engineer to develop and maintain data processes using Python (PySpark) and Azure Synapse Analytics. This role offers the opportunity to work on significant data engineering projects within a fast-paced, innovative software consultancy.

The ideal candidate will have a Bachelor’s degree in Computer Science or a related field, proven ETL experience, and strong problem-solving skills.

Bluelight offers competitive salaries, generous time-off policies, and opportunities for continuous education and flexible working hours.

Formación

• Bachelor’s degree in a related field or equivalent experience.
• Proven experience in ETL data engineering using Python (PySpark).
• Proficiency with Azure Synapse Analytics tools.

Responsabilidades

• Develop and maintain ETL processes using Python (PySpark).
• Design and build effective data storage structures.
• Collaborate on data models with architects.

Conocimientos

ETL Data Engineering

Python (PySpark)

Azure Synapse Analytics

Data Warehousing

SQL

Data Quality

Documentation

Problem-solving

Educación

Bachelor’s degree in Computer Science or IT

Herramientas

Azure Synapse Analytics

Git

Power BI

Descripción del empleo

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.

Key Responsibilities

• ETL Data Engineering: 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: Monitoring 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.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
• Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
• Proficiency in using 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 both SparkSQL and MS SQL to effectively extract, transform, and load data.
• 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 skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
• Familiarity with big data technologies, machine learning, and data analysis preferred.
• Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Company Benefits

• Competitive salary and bonuses, including performance-based salary increases.
• Generous paid-time-off policy
• Flexible working hours
• Work remotely
• Continuing education, training, conferences
• Company-sponsored coursework, exams, and certifications