GCP Data Pipelines

Job SummarySynechron is seeking a skilled GCP Data Engineer to join our dynamic team. The role involves designing, developing, and managing data solutions on Google Cloud Platform (GCP) that support business analytics, decision-making, and digital transformation initiatives. You will collaborate with cross-functional teams to deliver scalable, reliable, and maintainable data architectures, contributing directly to our clients' success in leveraging cloud data strategies. This position plays a critical role in enabling data-driven insights and operational efficiencies across diverse projects. Software Requirements

Required:

• Proficiency in Google Cloud Platform services (e.g., BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer) with at least [X] years of hands-on experience
• Strong programming skills in Python and/or Java (familiarity with GCP SDKs and APIs)
• Experience with data integration and ETL/ELT tools on GCP (e.g., Dataflow, Data Fusion)
• Knowledge of SQL for data querying and modeling

Preferred:

• Experience with containerization tools such as Docker and orchestration platforms like Kubernetes
• Familiarity with DevOps tools (Git, Jenkins) for continuous integration and deployment
• Knowledge of other cloud platforms (AWS, Azure) is a plus
• Exposure to microservices architecture and API management

Overall Responsibilities

• Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into scalable architecture solutions on GCP
• Design, develop, and maintain cloud-based data pipelines, workflows, and storage solutions
• Implement best practices for data security, governance, and compliance within cloud environments
• Conduct code reviews to ensure high quality, efficiency, and reusability of code
• Troubleshoot and resolve technical issues related to data systems and pipelines
• Assist in documentation of technical specifications, data models, and operational procedures
• Stay current with evolving cloud technologies and industry trends; recommend enhancements to existing solutions
• Support testing efforts and provide technical guidance to team members

Technical Skills (By Category)

Programming Languages:

• Required: Python, Java (minimum 2 years of experience in either)
• Preferred: Scala, SQL proficiency

Databases/Data Management:

• Required: Experience with GCP data services such as BigQuery, Cloud SQL, Cloud Spanner
• Preferred: Familiarity with NoSQL databases like Firestore or Datastore

Cloud Technologies:

• Required: Google Cloud Platform core services (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
• Preferred: Cloud Composer, Cloud Functions, Cloud Run, Anthos

Frameworks and Libraries:

• Required: Data processing libraries in Python (e.g., pandas, Apache Beam SDK)
• Preferred: ML frameworks integrated with GCP (Vertex AI, TensorFlow)

Development Tools and Methodologies:

• Required: Experience with Git, JIRA, Agile/Scrum workflows, CI/CD pipelines
• Preferred: Terraform, Deployment Manager for infrastructure as code

Security Protocols:

• Required: Understanding of data security best practices, IAM roles, encryption strategies
• Preferred: Familiarity with GCP Security Command Center and compliance standards

Experience Requirements

• Minimum of 3 years of professional experience in data engineering, software development, or cloud solutions with a focus on GCP
• Proven experience designing and developing data pipelines and ETL workflows at scale
• Demonstrated ability to work with cross-disciplinary teams and translate business needs into technical implementations
• Experience with Agile project management tools and methodologies (Scrum, Kanban)
• Prior exposure to data governance, security, and compliance guidelines in cloud environments

Day-to-Day Activities

• Participate in daily stand-up meetings, sprint planning, and retrospectives
• Collaborate with teams to gather and refine technical requirements
• Build, test, and deploy data pipelines and cloud infrastructure solutions
• Conduct code reviews and provide constructive feedback to peers
• Monitor system performance and troubleshoot issues promptly
• Maintain detailed documentation of data architecture, workflows, and operational procedures
• Research emerging cloud technologies and industry best practices to improve system efficiency and security
• Support team members with technical guidance and problem-solving

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience
• Relevant certifications such as Google Cloud Professional Data Engineer or equivalent are preferred
• Continuous learning in cloud data engineering, machine learning, and security best practices

Professional Competencies

• Critical thinker with strong analytical skills and problem-solving capabilities
• Effective communication skills for stakeholder engagement and team collaboration
• Ability to work autonomously and collaboratively in a fast-paced environment
• Strong organizational skills with proven ability to prioritize tasks and manage time effectively
• Openness to learning new technologies and adapting to evolving project requirements
• Demonstrates a proactive approach to identifying opportunities for process improvements and innovation

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.

Candidate Application Notice

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