Azure Data Engineer - Remote, Latin America

Logoslabs; San Francisco (CA); À distance; USD 135 000 - 185 000; Plein temps

Avantages offerts par ce poste

Bonuses

PTO (Paid Time Off)

Flexible hours

Remote work

Education & certs

Résumé du poste

Bluelight is a leading software consultancy seeking a Data Engineer to design and maintain ETL data pipelines using PySpark in Azure Synapse notebooks and pipelines. You will build scalable data warehouses, extract data from REST APIs, SQL databases, and CSV files, and ensure data quality and governance.

The role emphasizes collaboration with data architects and cross-functional teams, with opportunities for growth, remote work options, and ongoing education in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent; Azure Data Engineer cert is a plus.
• Proven ETL experience with Python (PySpark) extracting from REST APIs, SQL tables, and CSVs.
• Proficiency with Azure Synapse resources including Notebooks, Pipelines, Linked Services, and Key Vault.
• Ability to write complex SQL with SparkSQL and MS SQL; optimize queries.
• Knowledge of data integration best practices and tools.
• Experience with Git or Azure DevOps.
• Strong problem solving, analytical skills, and attention to detail.
• Excellent communication, teamwork, and adaptability.
• Familiarity with big data, ML, data analysis; BI tools a plus.

Responsabilités

• Develop and maintain ETL data pipelines using Python (PySpark) in Azure Synapse notebooks/pipelines.
• Design and build data warehouses with star schemas and appropriate dimensional models.
• Extract data from REST APIs, SQL tables, and CSV files for downstream analytics.
• Optimize performance of notebooks/pipelines to meet SLAs and handle scale.
• Monitor ETL jobs, troubleshoot data issues, and document data flows.
• Collaborate with data architects and cross functional teams on data requirements.
• Ensure data security and governance compliance.
• Provide data quality checks and validation across pipelines.
• Maintain comprehensive documentation of data engineering processes.
• Support data visualization and analytics initiatives with reliable data sources.

Connaissances

Python (PySpark)

ETL data engineering

SQL querying (SparkSQL/MS SQL)

Azure Synapse Analytics

Data modeling & warehousing

Data quality & governance

Version control (Git/Azure DevOps)

Communication skills

Big data & analytics familiarity

Data visualization (Power BI/Tableau)

Formation

Bachelor's degree in CS/IT or related field; Azure Data Engineer cert a plus

Outils

Azure Synapse Analytics Notebooks

Azure Synapse Pipelines

Azure Key Vault

Git (Azure DevOps)

Power BI

Tableau

Description du poste

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.

We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

Key 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) SWL Pool.

• Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.

• Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.

• Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.

• Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.

• Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.

• Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.

• Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.

• Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.

• Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.

• Security and Compliance: Ensure data security and compliance with data governance and privacy standards.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.

• Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.

• Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.

• Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.

• Knowledge of data integration best practices and tools.

• Experience with version control systems, such as Git (Azure DevOps).

• Strong problem-solving and analytical skills, with a keen attention to detail.

• Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.

• Familiarity with big data technologies, machine learning, and data analysis preferred.

• Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Company Benefits

• Competitive salary and bonuses, including performance-based salary increases.

• Generous paid-time-off policy

• Flexible working hours

• Work remotely

• Continuing education, training, conferences

• Company-sponsored coursework, exams, and certifications

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.

You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry!