What are the responsibilities and job description for the Sr. Google Cloud Platform Data Engineer position at Apex Systems?
Job Details
Job#: 2066589
Job Description:
Position Description: Our client is seeking a Data Engineer. The candidate will be responsible for designing and developing the transformation and modernization of big data solutions on Google Cloud Platform cloud, integrating native Google Cloud Platform services, and building/enhancing data products in Google Cloud Platform. We are looking for candidates with a broad set of technology skills across these areas and the ability to design and develop the right solutions.
Key Responsibilities:
Skills Required:
Experience Required:
Experience Preferred:
Education Required:
Additional Information:
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Job Description:
Position Description: Our client is seeking a Data Engineer. The candidate will be responsible for designing and developing the transformation and modernization of big data solutions on Google Cloud Platform cloud, integrating native Google Cloud Platform services, and building/enhancing data products in Google Cloud Platform. We are looking for candidates with a broad set of technology skills across these areas and the ability to design and develop the right solutions.
Key Responsibilities:
- Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment of the Data Platform.
- Implement methods for automation of all parts of the pipeline to minimize labor in development and production.
- Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions.
- Test and compare competing solutions and report a point of view on the best solution.
- Experience with large-scale solutioning and operationalization of data warehouses and analytics platforms on Google Cloud Platform.
- Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, DataProc, SQL, Compute Engine, Cloud Functions.
- Use orchestration tools like Apache Airflow.
- Build new/enhance data products in Google Cloud Platform.
Skills Required:
- Understanding of data architectures and design independent of the technology.
- Experience with BigQuery, SQL, Python, and Apache Airflow.
- Exceptional problem-solving and communication skills.
- Management of multiple stakeholders.
- Experience working with Agile and Lean methodologies.
- Experience with Test-Driven Development.
- Exposure to AI/LLM.
Experience Required:
- Minimum 5 years of experience in Java/Python.
- Minimum 5 years of experience in data engineering pipelines/building data warehouse systems with the ability to understand ETL/ELT principles and write complex SQL queries.
- Minimum 5 years of Google Cloud Platform experience working in Google Cloud Platform-based Big Data deployments (Batch/Real-Time) leveraging BigQuery, Google Cloud Storage, Pub/Sub, Data Fusion, Dataproc.
- Minimum 2 years of experience in development using data warehousing, Big Data Eco.
- 3 years of experience deploying Google Cloud services using Terraform.
Experience Preferred:
- Experience working with AI/LLM models, leveraging Generative AI.
Education Required:
- Bachelors or Masters in a relevant field.
Additional Information:
- This is a hybrid position requiring 13 days on-site per quarter. Local candidates are preferred.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
