出海雷达

数据工程师,Azure - 远程,拉丁美洲

Data Engineer, Azure - Remote, Latin America

开发工程未标注地域
公司Bluelight Consulting
薪资未公开
工作地点Managua, Nicaragua
地域资格未标注地域
时区要求无特别要求
用工类型Full-Time
发布时间未知
数据来源Lever
前往企业招聘页投递 →

Bluelight 是一家领先的软件咨询公司,致力于设计和开发创新技术以改善用户的生活。我们始终致力于为客户提供卓越的服务,专注于质量与客户满意度。我们的使命不仅是打造前沿的应用程序,还营造一个协作且富有成效的工作环境,让每位团队成员都能成长和蓬勃发展。Bluelight 在美国以及中美洲和南美洲都有业务,正处于令人兴奋的扩张阶段,持续寻找优秀人才加入我们充满活力和多样性的团队。

我们正在寻找一位技能娴熟的人员加入 Bluelight 快速发展的团队。这个职位适合在快节奏、动态环境中工作的人,这里每个人的见解和努力都受到重视和赞赏。你将有机会参与具有挑战性和意义的项目,开发在市场上脱颖而出的高质量应用程序。我们重视持续学习、个人成长和勤奋工作,提供一个促进职业发展的协作环境。如果你对软件开发充满热情,并渴望成为一家快速发展的软件咨询公司的一员,欢迎申请,加入我们这段激动人心的旅程。

作为我们团队的顾问,这是一份有趣、有挑战性且富有成就感的职业选择。你的贡献深受客户重视,你所做的工作往往会对他们的业务产生直接而重大的影响。
你将有机会为我们的杰出客户参与各种项目,这将加速你的职业发展。你将使用现代技术,并与业内最优秀的专业人士合作!
如果你渴望成为一家充满激情、挑战和快速发展的咨询公司的一员,我们鼓励你申请。#LI-Remote

主要职责
· ETL 数据工程:使用 Python(PySpark)在 Azure Synapse Analytics 笔记本和/或 Azure Synapse Analytics 管道中开发和维护 ETL 数据工程流程,确保高效的数据提取、转换和加载。
· 数据仓库:运用你在数据仓库方面的专业知识,理解星型模式、事实和维度,设计并构建在大规模并行处理(MPP)SWL 池中的有效数据存储结构。
· 数据源专长:从各种来源提取数据,包括 REST API、SWL 数据库等。

查看英文原文

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. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.
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

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

本页面信息整理自 Lever,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

← 返回全部职位