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Principal Data Engineer

Principal Data Engineer

ToptalAl Qatif, Saudi Arabia
16 days ago
Job description

Toptal launches HireGlobal

The most competitively priced global workforce payroll platform. Principal Data Engineer

About Toptal

Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue

and team members based around the globe , Toptal is the world’s largest fully remote workforce . We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold. Job Summary :

At Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations. As a Principal Data Engineer, your primary goal is to be one step ahead. You will support Business Analysts, Data Analysts, and Data Scientists by providing infrastructure and tools they can use to deliver end-to-end solutions and business insights. This is more than building and maintaining ETL pipelines–we need innovation, creativity, and solutions that will have a significant impact on our velocity and business impact. We, in turn, will give you autonomy and freedom to turn your ideas into reality. This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Responsibilities :

The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills. Lead and contribute to architecting and building a modern data stack that is scalable, maintainable, and highly-performant. This includes building frameworks, data pipelines, and other data infrastructure using a variety of raw data sources. Collaborate with data source providers both internal and external to set rules, processes, and checks that ensure data availability and integrity. Monitor and maintain the data pipelines and ETL processes to proactively remediate issues and preserve data availability. Support the migration from legacy orchestration systems and ETL, including migrating pipelines reading from internal databases and APIs, remapping data sources, and translating transformation logic. Ensure proper governance practices and effective documentation are implemented throughout the ETL migration process. Communicate with team members and convey results efficiently and clearly. In the first week, expect to :

Meet mentors that will help you during your onboarding month. Meet your team, managers, and other key stakeholders like Business Analysts. Start participating in company-wide training sessions. Set up your local environment and become familiar with our tech stack. In the first month, expect to :

Have a comfortable understanding of our data stack and systems. Have a clear understanding of the team’s data strategy and direction for the infrastructure. Develop an understanding of Toptal’s business and offerings. Develop an understanding of Toptal’s different processes and team structure, and identify and meet key technical and business stakeholders. Start contributing to legacy cleanup and migration efforts. In the first three months, expect to :

Have strong knowledge of Toptal’s business. Actively supply daily support to users, development, migration, and maintenance work. Take part in the on-going monitoring and maintenance of data pipelines and processes. Be ready to propose and implement improvements to Toptal’s processes and codebase. Deliver value in a regular cadence. Get comfortable in your daily work within your team. In the first six months, expect to :

Own technical initiatives on our team. Drive improvements to the codebase and processes. Contribute to planning and executing long-term initiatives inside your team. Be able to not only solve complex problems, but also consider multiple solutions, weigh them and decide on the best course of action. Exercising discretion and independent judgment, proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack. In the first year, expect to :

Have a detailed understanding of Toptal’s business, collaboration rituals, processes, performance, and future work. Determine what your career path looks like at Toptal. Mentor Toptal’s new team members. Qualifications and Job Requirements :

Bachelor’s degree is required. 10+ years of experience working with data infrastructure–architecture, cloud data warehouses, data modeling, ETL tools and processes, and data ingestion techniques. Extensive experience working with Python, Pandas, and SQL Experience with Google Cloud Platform (including Google Cloud Storage and BigQuery), object-oriented programming, CI / CD, and ETL technologies such as Airflow, Luigi, Dagster, and CDC is preferred Outstanding English written and verbal communication skills. Be excited about collaborating daily with your team and other groups while working via a distributed model. Be eager to help your teammates, share your knowledge with them, and learn from them. Be open to receiving constructive feedback. Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts. You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do. For Toptal Use Only : #LI-REMOTE #LI-LS1 #individualcontributoreurope #southamerica

Who You Will WorkWith

SVP of Marketing Strategy As Toptal’s SVP of Marketing Strategy, Luiz is accountable for driving the strategy and implementation across all Marketing channels and initiatives. He’s responsible for ensuring that all Marketing deliverables are aligned with our growth strategy and are at the highest quality level to align with Toptal’s level of excellence. Before Toptal, Luiz built and led corporate strategy and partnership teams in various industries, from Private Equity, Management Consulting, Tech, and Healthcare. He had been designing strategy, driving growth, and managing partnerships in organizations like Booz & Company, Accenture, DaVita, Sling TV, and Burger King. Luiz has an MBA from Harvard Business School and a BSc in Computer Science from the Federal University of Rio de Janeiro. Travis Anderson VP of Business Analytics As Toptal's VP of Business Analytics, Travis leads a team that enables data-driven decision making by connecting business strategy with data activities (i.e., data analysis, reporting, diagnostic analytics, and data science). Business Analytics supports all functional areas of the business, including sales, marketing, finance, product, operations, and HR. Travis brings over a decade of experience building and leading analytics and engineering teams to drive significant business growth, including at Vivint Smart Home, Symantec, Brigham Young University, and at his own startup, Mapline. He holds BS and MS degrees in Mechanical Engineering and an MBA from Brigham Young University. We're changing the way the world works. Toptal is not only a place to progress your career and design your own lifestyle, but also a company where you'll learn how to develop innovations that push business and technology forward. What is the greatest impact that you have had in a prior role? Describe the top 3 attributes you seek in a work environment in which you thrive. What is the highest level of education you have completed? We verify education as a part of our hiring process. High school diploma Partially complete College / University; not currently enrolled Partially complete College / University; currently enrolled and working toward degree Graduate / Master's degree or above I would like to be contacted about future Toptal employment opportunities. Interested in joining our global talent network?

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Data Engineer • Al Qatif, Saudi Arabia

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