Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии понятный фокус на data engineering и актуальный стек, но уровень Level I плохо сочетается с требованием опыта от 3 лет и заметными инфраструктурными задачами.
Неясный уровень
Актуальный стек
Понятные задачи
?Страховой сектор
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer - Level I (MS) (Apache Airflow/dbt/Snowflake): Building and maintaining reliable data pipelines, transformation logic, and cloud data models with an accent on workflow orchestration, data quality, and query performance. Focus on developing scalable SQL and Python solutions, optimizing Snowflake resources, and collaborating with infrastructure, analytics, and business teams.
Location: PHL-Manila, Philippines
Company
hirify.global promotes collaboration, expertise, innovation, and solutions that enable business operations and organizational goals.
What you will do
Design and develop Apache Airflow data pipelines for complex workflows and reliable data delivery.
Build and maintain modular, tested, and documented transformation logic with dbt Core and develop optimized Snowflake data models.
Write complex SQL for transformations, data quality validation, and business logic.
Implement data quality checks, monitoring, alerting, documentation, and production support.
Collaborate with infrastructure, analytics, and business teams to build scalable, well-monitored data solutions.
Optimize query performance and Snowflake resource utilization, participate in code reviews, and contribute to data engineering practices.
Requirements
At least 3 years of experience in data engineering or a related role.
Strong SQL proficiency, including complex queries, CTEs, and window functions.
Python proficiency for data engineering, scripting, and automation.
Hands-on experience with dbt Core or Cloud and Apache Airflow or similar workflow orchestration tools.
Working knowledge of Snowflake or similar cloud data warehouses such as Redshift or BigQuery.
Understanding of data engineering infrastructure requirements, including deployment strategies, environment configuration, and resource management.
Understanding of dimensional modeling and data warehouse design patterns.
Experience with Git, CI/CD practices, problem-solving, and maintaining data quality.
Bachelor’s degree in computer science, business, or a related field, or equivalent knowledge and skills.
Nice to have
Experience with data replication or CDC tools such as Qlik Replicate, Fivetran, or AWS DMS.
Knowledge of real-time streaming, event-driven architectures, Docker, Terraform, CloudFormation, cloud platforms, data governance, security, DataOps, testing frameworks, software engineering principles, and agile methodologies.
Culture & Benefits
Collaborative culture focused on expertise, innovation, and progress.
Full-time employment with Arch Global Services (Philippines) Inc.
Opportunity to work with infrastructure, analytics, and business colleagues on data platform initiatives.
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