Azure Data Engineer Latin America

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 s 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.

• 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, lake houses, 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.

• 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 Dev Ops).

• 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.

• 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…