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; Attention to detail
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Equivalent work experience, Proven experience in ETL data engineering, Experience using Python (PySpark), Experience performing data extraction, Experience performing data transformation, Experience performing data loading, Experience from REST APIs, Experience from SQL database tables, Experience from CSV files, Proficiency in Azure Synapse Analytics resources, Ability to write complex SQL queries, Optimize query performance, Work with SparkSQL, Work with MS SQL, Knowledge of data integration best practices, Experience with version control systems, Experience with Git, Strong problem-solving skills, Analytical skills, Excellent communication skills, Ability to work collaboratively
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
Design data storage structures
Build data storage structures
Extract data from REST APIs
Extract data from SWL database tables
Extract data from CSV files
Design data notebooks
Design data pipelines
Optimize data notebooks
Optimize data pipelines
Implement Data Fabric concepts
Enhance data management capabilities
Implement data quality checks
Implement validation processes
Resolve performance bottlenecks
Optimize ETL data notebooks
Optimize ETL data pipelines
Maintain documentation
Understand data requirements
Provide support for data initiatives
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Data analysts; Stakeholders; Data architects
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile Methodologies
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