Senior Data Engineer

Good day,

We have opportunity for Senior Cloud Data Engineer

Job Role:Senior Cloud Data Engineer

Job Location: Synechron (Bengaluru EC2)

Experience- 8 to 12 years

Notice: Immediate joiner to 15 days.

About Synechron:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.

Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.

About the Role

We are seeking a highly skilled Senior Cloud Data Engineer with strong expertise in Snowflake, DBT, Airflow, and AWS to join our Data Engineering team. The ideal candidate will possess hands-on cloud data platform implementation experience, solutioning capabilities, infrastructure automation expertise, and the ability to engage effectively with stakeholders across business and technology teams.

This role requires a blend of technical excellence, architecture thinking, cloud platform delivery experience, and strong communication skills.

Key Responsibilities

• Design, develop, and support scalable cloud-based data platforms on AWS.
• Build and optimize ELT/ETL pipelines using Snowflake, DBT, and Airflow.
• Participate in solution design, architecture discussions, and technical decision-making.
• Implement and manage infrastructure as code using Terraform and/or CloudFormation.
• Develop and support CI/CD pipelines for data platform deployments.
• Collaborate with business stakeholders, architects, and engineering teams to deliver data solutions.
• Ensure platform reliability, performance, security, and operational excellence.
• Troubleshoot production issues and provide ongoing cloud platform support.
• Drive best practices around automation, data governance, monitoring, and cloud optimization.

Required Skills

Technical Skills

• Snowflake
• DBT
• Apache Airflow
• AWS Cloud Services
• Python and SQL
• Data Warehousing and Data Modeling
• GitHub / Git

Cloud & DevOps Skills

• Terraform and/or CloudFormation
• Infrastructure as Code (IaC)
• CI/CD Pipelines (Buildkite, Azure DevOps, Jenkins, GitHub Actions, etc.)
• Cloud platform deployment and operational support
• AWS IAM, Security, and Monitoring

Desired Experience

• Strong experience delivering enterprise-scale cloud data platforms.
• Experience in solutioning, architecture, and technical leadership.
• Exposure to modern data engineering practices and cloud-native architectures.
• Experience working in Agile environments.
• Financial Services, Banking, or Collections domain experience is desirable.

Soft Skills

• Excellent communication and presentation skills.
• Strong stakeholder management and client-facing experience.
• Ability to lead technical discussions and influence architectural decisions.
• Strong problem-solving and analytical skills.

Preferred Candidate Profile

• 8–10 years of overall IT experience.
• Minimum 4–6 years of hands-on experience with Snowflake and AWS.
• Proven experience delivering cloud data engineering solutions end-to-end.
• Ability to balance hands-on development with solution design and stakeholder engagement.

Keywords: Snowflake, DBT, Airflow, AWS, Terraform, CloudFormation, CI/CD, Data Engineering, Cloud Platform, Data Warehouse, Solution Architect, Infrastructure as Code, AWS IAM.

To expedite the application process, please share the following details at your earliest convenience:

1. Tentative date to join (if selected)
2. Current salary
3. Expected salary
4. Total experience
5. Relevant experience
6. Official email confirmation of notice period or last working day
7. Primary skills (hands-on)
8. Secondary skills
9. Reason for change
10. Current location
11. Preferred location :

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