Azure Data Engineer - Remote, 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 reputed company on reputed company and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a reputed company and enriching work environment where reputed company team member can grow and reputed company. With a reputed company across the reputed company and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community. As an ETL Data Engineer, you will play a critical role in our reputed company’s expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-reputed company data for insights and decision-making, this position is ideal for a passionate software development reputed company who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our reputed company’s growing software consultancy, you will have reputed company to contribute to challenging, market-standing reputed company reputed company a reputed company community that deeply values hard work, reputed company learning, personal reputed company, and reputed company development.

Responsibilities

• ETL Data Engineering: reputed company and maintain ETL data engineering processes using Python (PySpark) reputed company 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 reputed company Processing (MPP) SWL Pool.
• Data reputed company Expertise: Extract data from various sources, including REST reputed company, 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 reputed company Concepts: Contribute to the implementation and understanding of other Data reputed company concepts, such as data lakes, lakehouses, reputed company lakes, and data cataloging, to enhance data management capabilities.
• Data Modeling: Collaborate with data architects to create data models and schemas that reputed company with business requirements.
• Data reputed company: Implement data reputed company 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 reputed company support for data-reputed company initiatives.
• reputed company and Compliance: Ensure data reputed company and compliance with data governance and reputed company standards.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a reputed company field; or equivalent work experience, with certifications reputed company 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 reputed company data extraction, transformation, and loading from REST reputed company, 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 reputed company SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, reputed company, 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 reputed company 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.

Being a consultant in reputed company is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a reputed company and significant reputed company on their business. You will have reputed company to work on a reputed company of reputed company for our incredible clients, which will accelerate your career reputed company. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry! If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote Apply tot his job Apply To this Job