Bluelight
Software Development
DataEngineer(Azure)
“Data Engineer (Azure) at Bluelight. Skills: ETL Data Engineering, Python, PySpark, Azure Synapse Analytics. 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, Experience in ETL data engineering, Using Python (PySpark) for data extraction, Using Python (PySpark) for data transformation, Using Python (PySpark) for data loading, Extract data from REST APIs, Extract data from SQL database tables, Extract data from CSV files, Proficiency in Azure Synapse Analytics resources, 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, Work collaboratively in a team environment
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 various sources
Utilize Azure Synapse Analytics
Design data notebooks
Optimize data notebooks
Design data pipelines
Optimize data pipelines
Contribute to Data Fabric concepts
Implement Data Fabric concepts
Implement data quality checks
Implement validation processes
Identify performance bottlenecks
Resolve performance bottlenecks
Optimize ETL data notebooks
Optimize ETL data pipelines
Maintain documentation
Work closely with cross-functional teams
Understand data requirements
Provide support for data initiatives
Ensure data compliance
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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