GCP Data Engineer

Synechron Technologies Pvt. Ltd._INDIA Company; Gurugram District; On-site; INR 1,600,000 - 2,400,000; Full time

Job summary

Synechron seeks a data engineer specializing in Google Cloud Platform (GCP) and Big Data to architect, develop, and optimize scalable data pipelines for enterprise analytics. You will ensure data quality, security, and accessibility while collaborating across teams to drive platform innovations.

The role requires hands-on experience with GCP services, Spark, ETL/ELT pipelines, and Python, with a focus on scalable, secure data solutions for complex business needs.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, IT or related field.
• 6+ years of practical data engineering experience with GCP and Big Data ecosystems.
• Experience designing end-to-end data pipelines at scale and ensuring data quality, security, and governance.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP (BigQuery, Dataflow, Cloud Storage, Pub/Sub).
• Collaborate with analytics, data science, and stakeholders to translate requirements into data workflows.
• Implement security, data governance, and encryption practices across platforms.
• Automate ingestion, transformation, and processing for high performance and cost efficiency.
• Document architecture and workflows and contribute to continuous improvement initiatives.

Skills

GCP & Big Data

Spark

ETL/ELT

Python

Relational & NoSQL

Git

Linux/Unix

Education

Bachelor's or Master's in CS/IT or related

Tools

Airflow

Docker

Kubernetes

Git

Terraform

Jenkins

Job description

Job Summary

Synechron is seeking a highly skilled Data Engineer specializing in Google Cloud Platform (GCP) and Big Data technologies to architect, develop, and optimize scalable data pipelines and data management solutions. This role is pivotal in supporting enterprise data initiatives, ensuring data quality, security, and accessibility for critical business insights. The successful candidate will collaborate across teams to drive data platform innovations and operational excellence aligned with organizational goals.

Software Requirements Required

• Extensive experience with GCP services including BigQuery, Dataflow, Cloud Storage, and Cloud Pub/Sub
• Strong proficiency in Apache Spark for distributed data processing and analytics
• Hands-on expertise in building and maintaining data pipelines using ETL/ELT processes
• Proficiency in Python for data scripting, automation, and orchestration tasks
• Experience with distributed data storage and management, including relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Familiarity with version control tools such as Git
• Knowledge of Linux/Unix environments for data processing and scripting

Preferred

• Experience with data governance, metadata management, and data security best practices
• Knowledge of data orchestration tools like Apache Airflow or Prefect
• Understanding of containerization (Docker) and orchestration (Kubernetes) for data deployment

Overall Responsibilities

• Design, develop, and maintain scalable, resilient data pipelines on GCP to support enterprise analytics and reporting solutions
• Collaborate with business stakeholders, data scientists, and analytics teams to understand data requirements and implement optimized data workflows
• Implement and enforce data quality, security, and governance standards across platforms
• Optimize data ingestion, transformation, and processing workflows to ensure high performance and cost efficiency
• Perform data profiling, troubleshooting, and resolution of pipeline issues to ensure operational reliability
• Stay current with emerging data engineering best practices, tools, and industry trends, leading continuous improvement initiatives

Technical Skills (By Category)

Programming Languages

• Required: Python for scripting and orchestration
• Preferred: SQL, Java (for integration or data processing tasks)

Databases & Data Management

• BigQuery, PostgreSQL, MySQL, MongoDB, data modeling, data security, and query optimization

Cloud Technologies

• GCP services including BigQuery, Dataflow, Cloud Storage, Pub/Sub, IAM, and Cloud Function deployment

Frameworks & Libraries

• Apache Spark, Dataflow, Airflow (preferred), TensorFlow or PyTorch (if ML integrations are involved)

Development & Orchestration Tools

• Git, Jenkins, Docker, Kubernetes, Terraform, Apache Airflow, and other CI/CD tools

Security & Compliance

• Implementing security policies, data encryption, access controls, and compliance standards such as GDPR or HIPAA

Experience Requirements

• Minimum of 6 years of practical experience in data engineering, with a significant focus on GCP and Big Data ecosystems
• Hands-on experience designing and implementing end-to-end data pipelines and workflows at scale
• Proven expertise in distributed data processing, data security, and infrastructure automation
• Experience working in agile teams supporting enterprise or large-scale data platforms
• Industry experience in finance, healthcare, retail, or technology sectors is advantageous

Day-to-Day Activities

• Develop and optimize data pipelines ensuring high performance, data quality, and security
• Collaborate with analytics, data science, and cross-functional teams to translate business requirements into scalable data solutions
• Automate data workflows, manage infrastructure as code, and support deployment pipelines
• Perform data profiling and troubleshooting to resolve pipeline issues promptly
• Implement security best practices for data access, encryption, and compliance
• Document architecture, workflows, procedures, and operational guidelines
• Participate in sprint planning, reviews, and continuous improvement initiatives

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field
• Extensive experience with GCP and Big Data processing frameworks such as Hadoop, Spark, and Dataflow
• Certifications in GCP (e.g., Professional Data Engineer), AWS, or Azure are a plus
• Proven ability to develop robust, scalable, and secure data pipelines supporting enterprise analytics

Professional Competencies

• Strong analytical and problem-solving skills, especially related to distributed data systems
• Excellent collaboration and communication skills to work effectively across teams and stakeholders
• Leadership qualities to guide data engineering best practices and mentor junior team members
• Strategic mindset to align data platform development with organizational goals
• Continuous learner to stay updated with evolving data technologies and industry standards
• Effective time management skills to handle multiple data projects simultaneously

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.

Candidate Application Notice

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.