Data Engineer, Azure - Remote, Latin America job opportunity at Bluelight Consulting.



Date2026-05-07 bot
Bluelight Consulting Data Engineer, Azure - Remote, Latin America
Experience: General
Pattern: Full-Time
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Azure - Remote, Latin America

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degreeGeneral
loacation Arequipa, Peru, Peru
loacation Arequipa, Peru....Peru
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<p>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.</p><p><br></p><p>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.</p>\n<p></p><p><br></p><b>Key Responsibilities</b><ul><li>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.</li><li>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.</li><li>Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.</li><li>Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.</li><li>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.</li><li>Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.</li><li>Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.</li><li>Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.</li><li>Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.</li><li>Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.</li><li>Security and Compliance: Ensure data security and compliance with data governance and privacy standards.</li></ul><p><br></p><b>Required Skills &amp; Qualifications</b><ul><li>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.</li><li>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.</li><li>Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.</li><li>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.</li><li>Knowledge of data integration best practices and tools.</li><li>Experience with version control systems, such as Git (Azure DevOps).</li><li>Strong problem-solving and analytical skills, with a keen attention to detail.</li><li>Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.</li><li> Familiarity with big data technologies, machine learning, and data analysis preferred.</li><li>Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.</li></ul><p><br></p><b>Company Benefits</b><ul><li>Competitive salary and bonuses, including performance-based salary increases.</li><li>Generous paid-time-off policy</li><li>Flexible working hours</li><li>Work remotely</li><li>Continuing education, training, conferences</li><li>Company-sponsored coursework, exams, and certifications</li></ul><p><br></p><p></p>\n<p>Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.</p><p>You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry!</p><p>If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote</p>

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