Bluelight

Software Development

DataEngineer(Azure)Remote,LatinAmerica

$45–75k ~AI est. Salvador, Bahia, Brazil FULL TIME Remote Friendly
The Brief

“Data Engineer (Azure) - Remote, Latin America at Bluelight. Skills: ETL Data Engineering, Python, PySpark, Azure Synapse Analytics. Develop ETL data engineering processes. Maintain ETL data engineering processes”

Industry & Context.

Software Development
Problems you'll solve

Problem-solving; Analytical skills

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), Data extraction, transformation, and loading experience, Experience from REST APIs, SQL database tables, and CSV files, Proficiency in Azure Synapse Analytics resources, 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 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 ETL data engineering processes

Maintain ETL data engineering processes

Extract data from various sources

Apply data warehousing expertise

Design data storage structures

Build data storage structures

Utilize Azure Synapse Analytics knowledge

Optimize data notebooks

Optimize data pipelines

Contribute to Data Fabric concepts

Enhance data management capabilities

Collaborate on data models

Collaborate on schemas

Align models with business 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

Ensure data pipeline reliability

Maintain documentation

Document ETL processes

Document data transformations

Work with cross-functional teams

Understand data requirements

Provide support for data initiatives

Ensure compliance with standards

How You'll Work.

Team & Collaboration

Cross-functional teams; Shifting priorities

Communication Scope

Verbal communication; Written communication

Process & Methodology

Agile Methodologies

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