| Google Cloud Data Engineer || F2F Interview at Charlotte, North Carolina, USA |
| Email: [email protected] |
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https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2495182&uid=c96793d7239d4eb9b303b00b0385e94f From: Shubham sharma, VyzeInc [email protected] Reply to: [email protected] Google Cloud Data Engineer || F2F Interview Location: Charlotte, NC (Need local to Charlotte, NC) Contract Duration: 1 year Notes: Must have GCP Certified Must have experience with Python libraries and Airflow Experience in the finance industry is required Candidates that does not need sponsorship now or in the future is required Job Description Build the future of data engineering with us, were building a set of native Python libraries that will leverage cloud native technologies on GCP. We are building a foundational set of libraries that allow users to author data and enforce data governance standards. What youll do Develop and enhance Python frameworks and libraries to support data processing, quality, lineage, governance, analysis, and machine learning operations. Design, build, and maintain scalable and efficient data pipelines on GCP. Implement robust monitoring, logging, and alerting systems to ensure the reliability and stability of data infrastructure. Build scalable batch pipelines leveraging Bigquery, Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform Building data pipelines, leveraging Scala, PubSub, Akka, Dataflow on Google Cloud Platform Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company Minimum Basic Requirements Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks. Code Management: Use Git and GitHub for source control, code reviews, and version management. GCP Proficiency: Extensive experience working with GCP services (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage). Python Mastery: Proficient in Python with experience in writing, maintaining, and optimizing data processing frameworks and libraries. Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD. Data Management: Deep knowledge of data modeling, ETL/ELT, and data warehousing concepts. Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges. Communication: Strong communication skills, including the ability to explain complex technical details to non-technical stakeholders. Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook, pandas, NumPy, and other Python data analysis libraries. Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow, Apache Spark, and scikit-learn. Bachelors or Masters degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program Preferred Qualifications Experience in Scala, Java, and/or any functional language. We code primarily in Scala, so youll be excited to either ramp or continue with such Experience in microservices architecture, messaging patterns, and deployment models Experience in API design and building robust and extendable client/server contracts Education Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 5 years of experience involving the following Special Requirements Dynamic server-side OOP languages; Scala, Java, C++, Python, or similar languages; design patterns, algorithms, statistics, programming languages, networking and operating systems; web application internals and common technologies; deployment strategies Production infrastructure; Kafka, BigQuery, Dataflow, Spark, Akka-Http, GRPC, BigTable, JavaScript frameworks; application scalability at any application tier; SQL, relational database schema design and ORM technologies; and Agile/Scrum practices. Keywords: cplusplus continuous integration continuous deployment North Carolina Google Cloud Data Engineer || F2F Interview [email protected] https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2495182&uid=c96793d7239d4eb9b303b00b0385e94f |
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| 10:03 AM 10-Jun-25 |