Want to know if this job is worth applying to?
Bengaluru - Bellandur (GTP), India
Onsite
Job Summary
Synechron is seeking a skilled GCP Data Engineer to design, develop, and optimize data pipelines and cloud-based data solutions on Google Cloud Platform. This role focuses on building scalable data architectures, leveraging GCP services, and collaborating with data engineers, analysts, and business stakeholders to enable data-driven decision making. The ideal candidate will combine strong technical acumen with effective collaboration, drive cloud-native data strategies, and contribute to governance and security practices aligned with enterprise standards.
Software Requirements
Required Skills (Essential)
Proficiency in Google Cloud Platform (GCP) data services for building and operating data pipelines (e.g., BigQuery, Dataflow/Beam, Cloud Storage, Pub/Sub)
Strong SQL skills and experience with data modeling and data validation for data warehouse and analytics workloads
Experience programming in Python or Java for data processing, transformation, and scripting
Familiarity with data orchestration and workflow automation (e.g., Apache Airflow, Cloud Composer)
Experience with data ingestion, transformation, and loading (ETL/ELT) in cloud environments
Knowledge of data governance, data quality, privacy, and security best practices
Proficient in version control systems (Git) and collaboration tools (e.g., GitHub, GitLab)
Understanding of SDLC/Agile methodologies and working in cross-functional teams
Preferred Skills
Experience with additional cloud services (AWS, Azure) and multi-cloud data strategies
Data warehousing concepts and experience with star/snowflake schema design
Experience with data lake architectures and tools (e.g., Cloud Storage lifecycle, data cataloging)
Knowledge of data visualization or reporting integrations to business stakeholders
Familiarity with containerization (Docker) and orchestration (Kubernetes) for data services
Experience with data security tooling and IAM configurations in cloud environments
Overall Responsibilities
Design, implement, and optimize scalable data pipelines and data models on GCP
Collaborate with data engineers, data scientists, analysts, and business stakeholders to translate requirements into robust data solutions
Develop and maintain data ingestion, transformation, and loading processes, ensuring data quality and accuracy
Build data models and schemas suitable for analytics, BI, and reporting
Implement data governance, lineage, and security controls across cloud data platforms
Monitor, profile, and optimize data workflows for performance, cost, and reliability
Develop documentation, runbooks, and architecture diagrams for data pipelines and platforms
Stay current with evolving data technologies and best practices; advocate for continuous improvement
Work with cross-functional teams to ensure alignment with enterprise data strategy and regulatory requirements
Technical Skills (By Category)
Programming Languages (Essential & Preferred)
Essential: Python or Java (for data processing and orchestration tasks)
Preferred: SQL, Scala, or other data-focused languages for specialized workloads
Databases/Data Management
Essential: SQL-based data modeling; experience with relational data stores (BigQuery, PostgreSQL, MySQL, etc.)
Preferred: NoSQL databases (e.g., MongoDB, Cassandra); data warehousing concepts; data governance and lineage
Cloud Technologies
Essential: Proficiency with GCP data services (BigQuery, Dataflow/Apache Beam, Cloud Storage, Pub/Sub)
Preferred: Experience with multi-cloud data strategies (AWS, Azure), and cloud security basics
Frameworks and Libraries
Essential: Data processing frameworks (Pandas/NumPy in Python; equivalent in Java), data orchestration libraries
Preferred: Spark/Databricks, Dask, data cataloging and governance tools
Development Tools and Methodologies
Essential: Git-based version control; Agile/Scrum practices; ETL/ELT tooling familiarity
Preferred: Infra as Code (Terraform), CI/CD integration for data solutions, testing frameworks
Security Protocols
Essential: Data privacy, secure data handling, and access controls in cloud environments
Preferred: Data encryption, IAM best practices, data masking, and compliance standards (e.g., GDPR/CCPA)
Experience Requirements
8 to 10 years of hands-on data engineering experience with a focus on cloud data platforms
Experience designing and operating data pipelines in GCP; familiarity with data warehousing and analytics
Domain experience in finance, healthcare, or other data-intensive industries is a plus
Demonstrated ability to collaborate with cross-functional teams and deliver end-to-end data solutions
Alternative pathways: strong project portfolio, relevant certifications, or hands-on multi-cloud data engineering roles
Day-to-Day Activities
Design, develop, and optimize data pipelines and models on the cloud
Collaborate with stakeholders to define data requirements and translate them into technical designs
Implement and monitor data quality, governance, and security controls
Tune performance and manage costs of data workloads in the cloud
Maintain documentation, runbooks, and architecture diagrams
Participate in planning, stand-ups, reviews, and milestone reporting
Mentor junior team members and share best practices
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field
Relevant certifications in data engineering, cloud platforms (GCP preferred), or data governance are advantageous
Demonstrated commitment to ongoing professional development in data engineering and cloud technologies
Professional Competencies
Critical thinking and problem-solving abilities for complex data problems
Clear communication and stakeholder management across technical and business teams
Collaboration and leadership skills to guide cross-functional teams
Adaptability to evolving data technologies and regulatory requirements
Innovation mindset with a focus on scalable, secure, and maintainable data solutions
Time management and prioritization in dynamic environments
SYNECHRON’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.