Bluelight Consulting - Data Engineer, Azure - Remote, Latin America
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Requirements
• 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.
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.
Benefits
• Competitive salary and bonuses, including performance-based salary increases. • Generous paid-time-off policy • Flexible working hours • Continuing education, training, conferences • Company-sponsored coursework, exams, and certifications • 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.
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