Google Cloud Platform (Google Cloud Platform) Data Engineer

Scalable Systems is a USA based Big Data, Analytics and Digital Transformation company focused on vertical specific innovative solutions. By providing next generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence and to gain an innovative edge.

Google Cloud Platform (Google Cloud Platform) Data Engineer || Remote/Onsite || 14+ Years || $65/hr

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Any Special Requests?: Must be able to work as an Independent Technical Contributor and interface directly with clients at onsite locations. Experience with Netezza to Cloud migration is highly preferred.

Important Skill-Set, Technologies, Certifications, and Methodologies: Google Cloud Platform (Google Cloud Platform), Informatica Intelligent Cloud Services (IICS), BigQuery, SQL/PL-SQL, Python, Kubernetes, Docker, Bitbucket, Data Warehousing, and Scaled Agile Framework (SAFe).

About the Role: Seeking a highly experienced Senior Data Engineer/Integrator to manage complex data ecosystems. This role focuses on Data Migration, performance optimization of Analytical SQL, and maintaining robust Data Warehousing architectures using Google Cloud Platform and Informatica tools.

Key Responsibilities:

• Design and maintain complex SQL queries, Functions, and Procedures for performance improvements.
• Lead Data Migration projects, specifically moving legacy systems like Netezza to Cloud environments.
• Manage Informatica Workflows and cloud-based integrations.
• Execute containerized deployments using Kubernetes and Docker for structured and unstructured data.
• Troubleshoot complex data issues and provide technical guidance to team members and stakeholders.
• Operate within Scaled Agile Framework (SAFe) methodologies to ensure timely project delivery.

Essential Skills:

• Advanced SQL and PL/SQL expertise across multiple Relational Database Management Systems (RDBMS).
• Hands-on experience with Google Cloud Platform core services (specifically BigQuery and Spanner).
• Profound understanding of Data Warehouse Concepts and Software Development Life Cycle (SDLC) principles.
• Proficiency in Python and Unix Scripting for automation and data processing.
• Version control expertise using Bitbucket or similar tools.

Desirable Skills:

• Experience with Google Cloud Spanner.
• Familiarity with Java, Spring Boot, and Apache frameworks.
• Experience mentoring junior team members and leading technical queries for business customers.

Keywords in your resume: Google Cloud Platform Data Engineer, Google Cloud Platform, BigQuery, Informatica, IICS, SQL, PL/SQL, Python, Data Warehouse, ETL, Kubernetes, Docker, Netezza Migration, SAFe Agile, Bitbucket, Cloud Migration.

Pre-Screening Questions for Candidates:

1. Is BigQuery Online Transactional Processing (OLTP) or Online Analytical Processing (OLAP)? Why?
2. What type of database is BigQuery Row-based or Columnar?
3. What is the difference between Batch Load and Streaming Insert?