Senior Data Engineer at Coforge Limited

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

13 Oct, 26

Salary

0.0

Posted On

15 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dbt, Python, Sql, Snowflake, Databricks, Azure, Terraform, Ci/cd, Git, Data Modelling, Lakehouse Architecture, Etl/Elt, Data Quality, Observability, Kafka, Event Hubs

Industry

IT Services and IT Consulting

Description

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.

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Responsibilities

Own the end-to-end delivery of scalable data pipelines and products, focusing on migration from Snowflake to Azure. Ensure data quality, observability, and governance while providing technical leadership and mentorship to junior engineers.