Bluelight
Software Development
DataEngineer(Azure)Remote,LatinAmerica
“Data Engineer (Azure) - Remote, Latin America at Bluelight. Skills: ETL Data Engineering, Azure Synapse Analytics, Python (PySpark), Data Warehousing. Develop ETL data engineering processes. Maintain ETL data engineering processes”
Industry & Context.
Problem-solving; Analytical skills
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science or IT, Equivalent work experience, Proven experience in ETL data engineering, Significant expertise using Python (PySpark), Perform data extraction, transformation, loading, Extract data from REST APIs, SQL tables, CSV files, Proficiency in Azure Synapse Analytics resources, Write complex SQL queries, Optimize query performance, Work with SparkSQL and MS SQL, Knowledge of data integration best practices, Experience with version control systems, Experience with Git (Azure DevOps), Strong problem-solving skills, Analytical skills, Keen attention to detail, Excellent communication skills, Ability to work collaboratively, Work in a team environment, Work with shifting priorities
Nice to Have
Certifications related to data engineering, Certifications related to data science, Azure Data Engineer certification, Familiarity with big data technologies, Familiarity with machine learning, Familiarity with data analysis, Experience with data visualization tools, Experience with Power BI, Experience with Tableau, Experience with Agile Methodologies
What You'll Do.
Develop ETL data engineering processes
Maintain ETL data engineering processes
Use Azure Synapse Analytics Notebooks
Use Azure Synapse Analytics Pipelines
Ensure efficient data extractions
Ensure data transformation
Apply data warehousing expertise
Design data storage structures
Build data storage structures
Extract data from REST APIs
Extract data from SWL database tables
Extract data from CSV files
Utilize Azure Synapse Analytics
Design data notebooks
Optimize data notebooks
Design data pipelines
Optimize data pipelines
Contribute to Data Fabric concepts
Enhance data management capabilities
Collaborate on data models
Implement data quality checks
Implement validation processes
Maintain data accuracy
Maintain data consistency
Identify performance bottlenecks
Resolve performance bottlenecks
Optimize ETL data notebooks
Optimize ETL data pipelines
Ensure data pipeline reliability
Maintain documentation
Document ETL processes
Document data transformations
Work with cross-functional teams
Understand data requirements
Provide support for data initiatives
Ensure compliance with standards
Ensure compliance with data governance
Ensure compliance with privacy standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Data analysts; Other stakeholders; Data architects
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile Methodologies
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