Familiarity with big data technologies, machine learning, and data analysis preferred. Documentation: Maintain comprehensive documentation of ETL data……
This role applies advanced software engineering and big data expertise to create reliable, high-quality data products that enable teams to deliver innovative……
Build and maintain data models, data lakes, and data warehouses that support enterprise analytics needs. Implement data ingestion frameworks from multiple……
5 years of relevant professional experience. The Advanced Quality Engineer plays a pivotal role in ensuring the highest standards of quality and reliability for……
Optimize data in production systems for scale, reliability, low latency, and efficient resource utilization. Strengthen platform reliability by contributing to……
Participate in quality checks and reviews to ensure system stability and reliability. Proactive Monitoring and Improvement (SRE Applications) - The ability to……
Partner closely with engineers, product managers, and designers to triage issues and improve product quality. You’ll work closely with cross-functional teams to……
Perform engineering analysis, testing, and validation to ensure compliance with performance and reliability requirements. Foster a customer-first mindset.…
This is front-loaded work (weeks 1–5), then you support the team through delivery. Build semantic validation harnesses for AI outputs – design golden-set test……
Uses data to quantitatively communicate problem or issue. Aware of SPC & Six Sigma methodology and tools (e.g. uses DMAIC process and basic tools such as 5……
5-7 years of previous experience deploying and administering security infrastructure in AWS public cloud environments, using Infrastructure as Code required.…
Utilize data analytics and statistical methods to improve yield and handle large manufacturing datasets. Analyze test data to identify trends, root causes, and……
Collaborate with Manufacturing and Quality teams to improve product reliability, quality, and cost efficiency. High-Performance Culture• Customer Focus.…
3-5 or more years of experience in technical position (like Quality, Service, Product Manager). Monitors global product field failure rates to drive improvement……
$80,000 - $94,000 (Proporcionado por el empleador)
Candidatura rápida
Ensure data quality, reliability, and observability across data systems. Architect and maintain cloud-based data platforms, including data lakes and data……
Build and evolve AI orchestration: routing, tool calling, MCP servers, multi‑step workflows, safety and guardrails, and robust error handling around third‑party……
5 years of relevant professional experience. The Advanced Quality Engineer plays a pivotal role in ensuring the highest standards of quality and reliability for……
3-5 or more years of experience in technical position (like Quality, Service, Product Manager). Monitors global product field failure rates to drive improvement……
Analyze test data to identify trends, root causes, and opportunities for process improvements. This role offers the opportunity to collaborate with cross-……
Mentor engineers and provide guidance on technical design and execution. Participate in on-call rotations to support production systems and ensure reliability.…
3-5 years of experience building production systems with C# and .NET. 3-5 years of experience building modern React and TypeScript applications.…
Strong quality fundamentals: Test case design, testing in multiple environments with different data, creating test data as needed, debugging production issues,……
Experience with big data technologies such as Apache Spark and Hadoop. Build and optimize data lakes and data warehouse solutions in cloud environments.…
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) 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.
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.
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!
If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote