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Bluelight Consulting is a prominent software consultancy that excels in designing and developing innovative technologies aimed at enhancing the user experience. With a dedication to high-quality service and customer satisfaction, Bluelight fosters a collaborative work environment that values the contributions of each team member. Currently, the company is expanding its team across the United States and Central/South America and seeks exceptional talent to join its diverse community.
The current job offering is for a Data Engineer (Azure) position, specifically targeting talent located in Latin America. This role plays a crucial part in the data engineering team, focusing on the design, development, and maintenance of data integration processes. The work is primarily done through Python (PySpark) and Azure Synapse Analytics, and it involves ensuring both the accuracy and availability of analytical data.
The Data Engineer will be responsible for several key functions:
ETL Data Engineering: Develop and sustain ETL processes using Python to ensure efficient extraction, transformation, and loading of data.
Data Warehousing: Utilize expertise in data warehousing concepts, such as star schemas and MPP SQL Pool, to construct effective data storage structures.
Data Source Expertise: Extract data from diverse sources, including REST APIs, SQL database tables, and CSV files.
Azure Synapse Analytics Expertise: Leverage knowledge of Azure Synapse Analytics to optimize data notebooks/pipelines for performance and scalability.
Data Modeling: Collaborate with data architects to build data models that represent business requirements accurately.
Performance Tuning: Identify performance bottlenecks and optimize ETL notebooks to meet stringent SLAs.
To succeed in this position, candidates must possess the following skills and qualifications:
A Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Certifications related to data engineering or data science (e.g., Azure Data Engineer) are advantageous.
Proven experience in ETL data engineering, with significant expertise in Python (PySpark).
Proficiency in using Azure Synapse Analytics resources, including Notebooks and Pipelines.
Skills to write complex SQL queries, optimize their performance, and work effectively with both SparkSQL and MS SQL.
Understanding of data integration best practices and tools, along with experience using version control systems like Git (Azure DevOps).
Strong analytical and problem-solving skills, with excellent attention to detail.
Superior communication abilities, allowing for effective collaboration in a team environment.
Knowledge of big data technologies and experience with data visualization tools (such as Power BI or Tableau) is a plus.
While the job posting does not include specific salary details, Bluelight Consulting emphasizes a rewarding work environment with substantial opportunities for career growth and development. Employees are encouraged to engage in various projects that significantly impact clients' businesses, offering an exciting career trajectory.
At Bluelight, being a consultant entails a dynamic, fun, and challenging career path. The contributions of team members are esteemed, further enhancing the collaborative environment. Professionals within the firm often work with cutting-edge technologies and partner with some of the best talents in the industry.
For anyone looking for a career in data engineering, this opportunity at Bluelight Consulting presents a compelling option. The role promises not just career growth but also the privilege of engaging with innovative technologies and making impactful contributions to client success. Interested candidates who are passionate about data and eager to join a vibrant consultancy should consider applying promptly.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
