Bluelight
Software Development
DataEngineer(Azure)Remote,LatinAmerica
“Data Engineer (Azure) - Remote, Latin America at Bluelight. Skills: ETL Data Engineering, Python, Azure Synapse Analytics, SQL. Develop and maintain ETL data engineering processes. using Python (PySpark) within Azure Synapse Analytics”
Industry & Context.
Strong problem-solving; analytical skills; Performance tuning; Troubleshooting
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, equivalent work experience, Proven experience in ETL data engineering, significant expertise in using Python (PySpark), perform data extraction, transformation, and loading, from REST APIs, SQL database tables, and CSV files, Proficiency in using Azure Synapse Analytics resources, write complex SQL queries, optimize query performance, work with both SparkSQL and MS SQL, Experience with version control systems, such as Git (Azure DevOps), Strong problem-solving and analytical skills, keen attention to detail, Excellent communication skills, both verbal and written
Nice to Have
certifications related to data engineering or data science, Azure Data Engineer certification, Familiarity with big data technologies, machine learning, data analysis, Experience with data visualization tools, Power BI, Tableau, Agile Methodologies
What You'll Do.
Develop and maintain ETL data engineering processes
using Python (PySpark) within Azure Synapse Analytics
ensure efficient data extractions
Apply expertise in data warehousing
design and build effective data storage structures
Extract data from various sources
Utilize deep knowledge of Azure Synapse Analytics
design and optimize data notebooks/pipelines
Contribute to implementation of Data Fabric concepts
Collaborate with data architects to create data models
Implement data quality checks and validation processes
Identify and resolve performance bottlenecks
optimize ETL data notebooks/pipelines
implement solutions to ensure data pipeline reliability
Maintain comprehensive documentation of ETL processes
Work closely with cross-functional teams
understand data requirements
provide support for data-related initiatives
Ensure data security and compliance
How You'll Work.
Team & Collaboration
cross-functional teams; shifting priorities
Communication Scope
verbal and written
Process & Methodology
Agile Methodologies
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