Google Cloud Platform Data Engineer

GCP Data Engineer | Expertise in Cloud Data Solutions, ETL Pipelines & Open-Source Technologies

Job Summary
Synechron is seeking a dedicated GCP Data Engineer to support the design, development, and deployment of scalable data solutions on Google Cloud Platform. This role is vital within our data team to enable data-driven decision-making by providing robust, efficient, and innovative data pipelines and analytics infrastructure. The GCP Data Engineer will collaborate with cross-functional teams to implement best practices and leverage cutting-edge cloud technologies to meet client and business needs.

Software Requirements

Required Software Proficiency:

• Google Cloud Platform (GCP) services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub) — hands-on experience and strong familiarity with core services

• SQL and NoSQL databases (e.g., BigQuery, Cloud SQL, Firestore) — expertise in data management and query optimization

• Programming languages: Python, Java, or Scala — proficient in developing data pipelines and automation scripts

• Open-source data tools and frameworks (e.g., Apache Beam, Apache Airflow, Kafka) — practical experience

• Data integration tools (e.g., Talend, Informatica, or similar) — experience in data ingestion and ETL processes

Preferred Software Skills:

• Machine learning frameworks (TensorFlow, scikit-learn) — exposure beneficial

• Data visualization and BI tools (Tableau, Data Studio) — familiarity advantageous

• Cloud deployment and automation tools (Terraform, Cloud Deployment Manager) — experience preferred

Overall Responsibilities

• Collaborate with clients and internal teams to understand business data requirements and translate them into scalable cloud data solutions

• Design, build, test, and deploy data pipelines and data lakes utilizing GCP services

• Optimize data workflows for performance, cost efficiency, and reliability

• Ensure data security, privacy, and compliance across all cloud data infrastructure

• Conduct data quality checks and troubleshoot technical issues proactively

• Participate in code and design reviews, maintaining high standards of quality and security

• Share knowledge related to emerging cloud data technologies and best practices within the team

Technical Skills (By Category)

• Programming Languages:

  • Essential: Python, Java, or Scala — advanced proficiency for data pipeline development

  • Preferred: Additional languages such as SQL and scripting languages

• Databases/Data Management:

  • Essential: BigQuery, Cloud SQL, Firestore — robust understanding and management experience

  • Preferred: NoSQL and other cloud-native storage systems

• Cloud Technologies:

  • Essential: Google Cloud Platform core services, cloud security, and cost management

  • Preferred: Multi-cloud experience or exposure to other cloud services (AWS, Azure)

• Frameworks and Libraries:

  • Essential: Apache Beam, Dataflow, Airflow for workflow orchestration and ETL pipelines

  • Preferred: TensorFlow or ML frameworks for integrated analytics solutions

• Development Tools and Methodologies:

  • Essential: CI/CD (Cloud Build, Jenkins), Git, Agile/Scrum practices — proven experience in collaborative project environments

• Security Protocols:

  • Awareness of data governance, encryption, and compliance standards in cloud data engineering

Experience Requirements

• Minimum of 8+ years of experience in data engineering or related roles, with practical experience on GCP

• Demonstrated expertise in building and managing large-scale data pipelines, analytics, and storage solutions

• Experience working with cross-functional teams using Agile methodologies

• Strong track record of delivering secure, scalable, and efficient data solutions on cloud platforms

• Alternative experience includes extensive hands-on data engineering in similar cloud environments or open-source projects

Day-to-Day Activities

• Develop and maintain data pipelines, workflows, and analytics infrastructure using GCP tools

• Engage with clients and internal stakeholders to gather requirements and deliver suitable data solutions

• Perform data ingestion, transformation, and validation to ensure high data quality

• Troubleshoot and resolve technical issues, ensuring minimal disruption to data services

• Conduct reviews and optimize existing data architectures for cost and performance improvements

• Document processes, provide technical guidance, and share insights on emerging data engineering trends

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)

• Relevant certifications such as Google Cloud Professional Data Engineer or equivalent are a plus

• Commitment to continuous learning on evolving cloud data technologies and best practices

Professional Competencies

• Strong analytical and problem-solving skills to address complex data challenges

• Effective communication skills for engaging with technical and non-technical stakeholders

• Ability to work collaboratively within diverse teams and adapt to fast-changing environments

• Active learning attitude, staying current with the latest cloud and data engineering advancements

• Results-oriented mindset focused on delivering impactful, high-quality data solutions

• Organizational skills to prioritize tasks effectively and meet project deadlines

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

Experience Level

Senior Level