Bluelight
Software Development
AzureDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Azure Data Engineer 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, Significant expertise using Python (PySpark), Data extraction, transformation, loading, REST APIs, SQL database tables, CSV files, Proficiency in Azure Synapse Analytics resources, Azure Synapse Notebooks, Pipelines, Linked Services, Azure Key Vault proficiency, Write complex SQL queries, Optimize query performance, Work with SparkSQL and MS SQL, Knowledge of data integration best practices, Experience with version control systems, Git (Azure DevOps) experience, 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, Power BI experience, Tableau experience, Agile Methodologies experience
What You'll Do.
Develop ETL data engineering processes
Maintain ETL data engineering processes
Use Python (PySpark) in Azure Synapse
Use Azure Synapse Pipelines
Ensure efficient data extractions
Ensure efficient data transformation
Ensure efficient data loading
Apply data warehousing expertise
Design data storage structures
Build data storage structures
Extract data from REST APIs
Extract data from SQL database tables
Extract data from CSV files
Design Azure Synapse notebooks
Design Azure Synapse pipelines
Optimize data notebooks for scalability
Optimize data notebooks for performance
Optimize data pipelines for scalability
Optimize data pipelines for performance
Contribute to Data Fabric concepts
Enhance data management capabilities
Collaborate on data models
Collaborate on data schemas
Align data models with requirements
Align data schemas with requirements
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
Implement solutions for reliability
Maintain documentation of ETL processes
Maintain documentation of data flows
Maintain documentation of data transformations
Understand data requirements
Provide support for data initiatives
Ensure data compliance
Adhere to data governance standards
Adhere to privacy standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Stakeholders
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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