Bluelight
Software Development
AzureDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Azure Data Engineer at Bluelight. Skills: ETL Data Engineering, Python, PySpark, Azure Synapse Analytics. Develop and maintain ETL data engineering processes. Use Python (PySpark) within Azure Synapse Analytics Notebooks”
Industry & Context.
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, extract, transform, and load data, Knowledge of data integration best practices, Experience with version control systems, Strong problem-solving and analytical skills, keen attention to detail, 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 Agile Methodologies
What You'll Do.
Develop and maintain ETL data engineering processes
Use Python (PySpark) within Azure Synapse Analytics Notebooks
Use Azure Synapse Analytics Pipelines
Ensure efficient data extractions
Ensure efficient data transformation
Ensure efficient data loading
Apply expertise in data warehousing
Design effective data storage structures
Build effective data storage structures
Extract data from REST APIs
Extract data from SWL database tables
Extract data from CSV files
Utilize deep knowledge of Azure Synapse Analytics
Design data notebooks for scalability
Design data notebooks for performance
Optimize data notebooks for scalability
Optimize data notebooks for performance
Design data pipelines for scalability
Design data pipelines for performance
Optimize data pipelines for scalability
Optimize data pipelines for performance
Contribute to implementation of Data Fabric concepts
Contribute to understanding of Data Fabric concepts
Enhance data management capabilities
Collaborate with data architects
Implement data quality checks
Implement data validation processes
Maintain data accuracy
Maintain data consistency
Identify performance bottlenecks
Resolve performance bottlenecks
Optimize ETL data notebooks
Optimize ETL data pipelines
Implement solutions for data pipeline reliability
Maintain documentation of ETL processes
Maintain documentation of data flows
Maintain documentation of data transformations
Work closely with cross-functional teams
Understand data requirements
Provide support for data-related initiatives
Ensure compliance with data governance
Ensure compliance with data privacy standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Data analysts; Data architects
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile Methodologies
Full Job Description
## Description Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community. As an ETL Data Engineer, you will play a critical role in our client’s expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client’s growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development. ## 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
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