Senior Data Engineer
Job Title: Senior Data Engineer
Key Skills: DBT, Python, SQL, Snowflake, Databricks
Location: Brazil
Mode: Remote
We at Coforge are hiring Senior Data Engineer with the following skill set.
Key Responsibilities
Delivery & Ownership
Own the end-to-end delivery of data pipelines and data products, from design through deployment and production support
Develop, maintain, and optimise scalable data pipelines using Azure Databricks, DBT, and Python
Ensure solutions are production-ready, reliable, and meet defined SLAs
Migration & Platform Engineering
Execute and support migration of data from Snowflake (AWS) to Azure using Databricks, DBT, and Lakebridge
Build and manage infrastructure-as-code using Terraform to enable scalable and repeatable deployments
Ensure seamless integration between legacy systems and the Azure data platform
Data Quality, Observability & Governance
Implement data quality frameworks (e.g., DBT testing, validation rules) to ensure trusted data pipelines
Enable observability through logging, monitoring, and alerting of pipelines and data workflows
Support data governance standards including data lineage, consistency, and compliance requirements
Architecture & Engineering Excellence
Contribute to the design and architecture of scalable data solutions, aligned with lakehouse principles
Apply best practices in data modelling, performance optimisation, and cost efficiency
Follow and promote engineering standards, including modular design and reusable components
Production Support & Reliability
Monitor and maintain data pipelines in production, ensuring high availability and performance
Troubleshoot issues and perform root cause analysis (RCA) for incidents
Continuously improve system stability, resilience, and operational processes
Collaboration & Technical Leadership
Work closely with cross-functional teams (data, product, architecture, business) to translate requirements into scalable technical solutions
Provide guidance and mentorship to junior engineers through code reviews and best practices
Contribute to documentation of architecture, pipelines, and operational processes
Required Skills & Qualifications
Strong hands-on expertise with: Azure Databricks, DBT, Snowflake, Python and SQL
Proven experience building and managing large-scale data pipelines and transformations
Experience working with high-volume datasets (e.g., terabytes, complex data models, multiple pipelines)
Solid understanding of: Data modelling and ETL/ELT frameworks, Distributed data systems and lakehouse architectures, Experience with Terraform and infrastructure-as-code principles
Strong experience with CI/CD pipelines and Git-based version control
Experience supporting production systems, including monitoring, alerting, and incident resolution
Knowledge of data quality, testing, and observability frameworks
Strong problem-solving and analytical skills
Excellent communication skills with the ability to work across technical and non-technical stakeholders
Experience in insurance or financial services domains is highly desirable
Preferred Skills:
Experience with real-time/streaming technologies (Kafka, Event Hubs, Delta Live Tables)
Knowledge of security, compliance, and data protection standards in regulated industries
Experience with cost optimisation and performance tuning in cloud environments
Exposure to multi-cloud or hybrid architectures
Posted On: 14-07-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.