Cloud Data Engineer - GCP

Job Summary

Synechron is seeking a highly motivated and skilled Senior Cloud Data Engineer – GCP to join our cloud solutions team. In this role, you will collaborate closely with clients and internal stakeholders to design, implement, and manage scalable, secure, and high-performance cloud-based data solutions on Google Cloud Platform (GCP). You will leverage your technical expertise to ensure the integrity, security, and efficiency of cloud data architectures, enabling the organization to derive maximum value from cloud data assets. This role contributes directly to our mission of delivering innovative digital transformation solutions and supports the organization’s strategic objectives of scalable and sustainable cloud infrastructure.

Software Requirements

• Required Skills:

  • Proficiency with Google Cloud Platform (GCP) services (Compute Engine, Cloud Storage, BigQuery, Cloud Pub/Sub, Dataflow, etc.)
  • Basic scripting skills with Python, Bash, or similar languages
  • Familiarity with virtualization and cloud networking concepts
  • Understanding of cloud security best practices and compliance standards
  • Experience with infrastructure as code tools (e.g., Terraform, Deployment Manager)
  • Strong knowledge of data management, data pipelines, and ETL processes

• Preferred Skills:

  • Experience with other cloud platforms (AWS, Azure)
  • Knowledge of SQL and NoSQL databases
  • Familiarity with containerization (Docker, GKE)
  • Experience with data visualization tools

Overall Responsibilities

• Design, implement, and operate cloud data solutions that are secure, scalable, and optimized for performance
• Collaborate with clients and internal teams to identify infrastructure and data architecture requirements
• Manage and monitor cloud infrastructure and ensure operational reliability
• Resolve technical issues related to cloud data workflows and storage solutions
• Participate in project planning, timelines, and technical documentation
• Contribute to best practices and continuous improvement initiatives within the organization
• Educate and support clients in adopting cloud data services and best practices

Technical Skills (By Category)

• Programming Languages:

  • Essential: Python, Bash scripts
  • Preferred: SQL, Java, or other data processing languages

• Databases & Data Management:

  • Essential: BigQuery, Cloud SQL, Cloud Spanner, Cloud Storage
  • Preferred: NoSQL databases like Firestore, MongoDB

• Cloud Technologies:

  • Essential: Google Cloud Platform core services (Compute, Storage, BigQuery, Dataflow, Pub/Sub)
  • Preferred: Cloud monitoring, logging, and security tools

• Frameworks & Libraries:

  • Essential: Data pipeline frameworks, Cloud SDKs, APIs
  • Preferred: Apache Beam, Data Studio

• Development Tools & Methodologies:

  • Essential: Infrastructure as Code (Terraform, Deployment Manager)
  • Preferred: CI/CD tools (Jenkins, Cloud Build)

• Security Protocols:

  • Essential: IAM policies, data encryption, network security best practices
  • Preferred: Compliance frameworks such as GDPR, HIPAA

Experience Requirements

• 2-3 years of experience in cloud data engineering, cloud infrastructure, or related roles
• Hands-on experience with GCP is preferred; experience with AWS or Azure is a plus
• Background in designing and managing cloud data pipelines, storage, and security solutions
• Proven ability to deliver scalable data solutions in cloud environments
• Experience working with cross-functional teams on cloud deployments
• Alternative experience pathways: academic projects, certifications, or relevant internships demonstrating cloud data skills

Day-to-Day Activities

• Develop and deploy cloud data pipelines, databases, and analytics solutions
• Collaborate with clients and team members to plan and implement infrastructure architecture
• Perform routine monitoring, maintenance, and performance tuning of cloud data systems
• Troubleshoot technical issues affecting data workflows and resolve performance bottlenecks
• Document system configurations, processes, and best practices
• Engage in continuous learning on new cloud features and data management tools
• Participate in project meetings, code reviews, and knowledge sharing sessions

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, information technology, or a related field
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, Cloud Architect) are preferred
• Training in cloud security, data management, or infrastructure design is advantageous
• Commitment to professional development and staying updated with emerging cloud technologies

Professional Competencies

• Critical thinking and problem-solving skills to resolve complex cloud architecture challenges
• Ability to work collaboratively with multidisciplinary teams and clients
• Strong communication skills for technical documentation and stakeholder engagement
• Adaptability to evolving cloud technologies and project priorities
• Organized with a focus on quality and detail-oriented delivery
• Proactive learner with a passion for innovation in cloud data solutions
• Ability to manage multiple tasks effectively and prioritize in a fast-paced environment

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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