Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 62d ago
The date the source published, not the day we noticed it (2026-07-15). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Brazil
The description agrees: it names Brazil.
What the ad says
…Location: Brazil…
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 12d ago · last seen 1h ago
The listing
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.