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Data Engineer
Отличная вакансия в известной международной ad-tech компании с сильным социальным пакетом (безлимитный отпуск, индексация зарплаты, обучение). Гибридный формат работы в Буэнос-Айресе и работа с передовыми технологиями делают это предложение очень привлекательным для специалистов среднего уровня.
Сложность вакансии
Роль требует уверенного владения современным стеком (Spark, dbt, SQL) и опыта работы с облачными платформами. Средний уровень сложности обусловлен необходимостью проектировать сложные пайплайны для больших объемов данных в динамичной среде рекламных технологий.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Data Engineer в Буэнос-Айресе с опытом от 2 лет рыночный диапазон составляет от $2,500 до $4,500 в месяц при работе на международные компании. Innovid, как глобальный игрок, обычно предлагает конкурентоспособные условия, соответствующие верхней границе рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position at Innovid. With over two years of experience in data engineering and a solid foundation in building scalable ETL/ELT pipelines, I am excited about the opportunity to contribute to a platform that is redefining the omnichannel ad tech landscape. My background in Apache Spark and SQL, combined with hands-on experience using dbt for data transformation, aligns perfectly with the technical requirements of your engineering team.
In my previous roles, I have successfully designed and maintained complex data systems within cloud environments, ensuring high data quality and reliability. I am particularly drawn to Innovid's commitment to innovation and its collaborative culture. I am eager to bring my expertise in modern data lake technologies and workflow orchestration to help drive insights that lead to more informed business decisions and improved performance for your global clients.
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Откликнитесь в innovid уже сейчас
Присоединяйтесь к лидеру рекламных технологий и создавайте масштабируемые дата-решения в глобальной команде Innovid!
Описание вакансии
Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing. We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
We're looking for a top-notch, passionate Data Engineer in Argentina with an interest in translating business goals into concrete solutions. The Data Engineer provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms. This can range from building data platforms, data warehouses and web applications, to implementing reporting platforms.
The Impact You'll Make:
- Design, develop and maintain complex data pipelines and systems to process large volumes of data
- Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
- Architect data solutions that are scalable, reliable, and secure, and meet business requirements
- Develop and maintain data models, ETL processes, and data integration strategies
- Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
- Create visualizations and reports to communicate insights to stakeholders across multiple data streams
- Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
- Work with other teams to ensure teamwork and timely delivery of client projects
What You'll Bring to Us:
- +2 years of experience in a Data Engineering capacity
- Hands-on expertise with Apache Spark
- Strong experience with SQL
- Experience designing, building, and maintaining ETL/ELT pipelines.
- Experience working with dbt for data transformation, modeling and testing
- Experience working in the cloud environments (AWS, Azure, GCP)
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline
- Advanced English (speaking, reading, writing, and listening)
Nice to have:
- Understanding of Apache Iceberg or modern data lake technologies
- Experience with batch processing at scale
- Experience with any of Snowflake, Databricks, Redshift or BigQuery
- Workflow orchestration tools (Argo Workflows, Airflow, Dagster, or similar)
- Testing and data quality frameworks
What We'll Offer You:
- Unlimited Vacations
- Monthly Inflation updates
- Lunch Credit
- OSDE 410 as medical insurance
- English lessons
- Gym coverage
- Internet coverage
- 1 extra paid month for primary & secondary birthing caregivers
- Learning & Development - Tools and Training
- Hybrid & flexible working model - nice offices in Parque Chas with endless snacks & beverages
- Pet friendly office
- High visibility roles with a tremendous amount of growth potential
- Global team and cross-company collaboration unlike anywhere else
There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
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Навыки
- Apache Spark
- SQL
- ETL
- ELT
- dbt
- AWS
- Azure
- GCP
- Apache Iceberg
- Snowflake
- Databricks
- Redshift
- BigQuery
- Airflow
- Dagster
- Argo Workflows
Возможные вопросы на собеседовании
Вакансия требует опыта работы с Apache Spark для обработки больших данных.
Расскажите о наиболее сложной проблеме производительности, с которой вы столкнулись при использовании Apache Spark, и как вы её решили?
dbt указан как ключевой инструмент для трансформации данных.
Как вы организуете тестирование и обеспечение качества данных внутри ваших dbt-проектов?
Компания работает с омниканальными данными, что подразумевает интеграцию из разных источников.
Опишите ваш опыт проектирования ETL/ELT процессов: как вы выбираете между этими подходами в зависимости от бизнес-требований?
В списке 'Nice to have' указан Apache Iceberg.
В чем преимущества использования табличных форматов вроде Apache Iceberg по сравнению с традиционными подходами в Data Lake?
Работа предполагает взаимодействие с кросс-функциональными командами.
Как вы подходите к сбору требований от нетехнических стейкхолдеров при проектировании новой витрины данных?
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