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Big Data Engineer (Google Cloud Platform)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Big Data Engineer (Google Cloud Platform): Designing and maintaining enterprise data solutions, ingestion pipelines, transformations, and delivery frameworks across warehouses, big data, and cloud platforms with an accent on data quality, governance, and scalable architecture. Focus on building high-performance data pipelines, maintaining cloud-based MLOps processes, and integrating disparate systems using Spark, Python, Kafka, and Google Cloud Platform.
Location: Working from home in Pennsylvania, United States; US citizenship required due to contractual and access requirements.
Company
is a healthcare organization developing enterprise data, analytics, and information management capabilities.
What you will do
- Design, build, and maintain data solutions across traditional warehouses, big data environments, and cloud platforms.
- Develop, test, implement, and maintain scalable ingestion, transformation, cleansing, and data delivery pipelines.
- Integrate internal and external systems, aligning data sourcing, flow, structure, and modeling with business and analytic needs.
- Support metadata management, data quality, governance, security, de-identification, and tokenization processes.
- Maintain machine learning and AI engineering processes deployed to cloud and big data environments.
- Contribute to engineering standards and patterns, deliver assigned projects, and provide guidance to junior contributors.
Requirements
- US citizenship required.
- Bachelor’s degree in software engineering, information systems, computer science, data science, or a related field.
- At least 3 years of experience in data platform development, data engineering, software development, or data science.
- At least 1 year of experience with big data or cloud data platforms.
- Knowledge of SQL, data warehousing, problem-solving, communication, and analytical skills.
Nice to have
- Master’s degree in software engineering, information systems, computer science, data science, or a related field.
- Experience with Google Cloud Platform, AWS, Azure, Spark, Python, data science, AI and machine learning engineering, healthcare, or database administration.
- Experience with Hadoop, Hive, NoSQL, Kafka, Linux shell scripting, SAS, Teradata, Oracle, or Informatica.
Culture & Benefits
- Collaboration with business, technology, analytics, architecture, data science, and engineering stakeholders.
- Office-based position with work-at-home conditions in Pennsylvania.
- Travel required 0%–25%.
- Work includes handling confidential customer and healthcare information under HIPAA, privacy, security, and business conduct requirements.
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