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EncoraSenior Data Engineer
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Before you apply
LocationCampinas
Work moderemote · Brazil
SenioritySenior
DepartmentCSA Billable
Company size10,000+ people
PostedSep 30, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Solid experience as a Data Engineer in production environments
Advanced Python (version 3.x), including production applications, external APIs/SDKs, error handling, testing, and maintainable code
Advanced T-SQL, including query tuning
Experience with Snowflake and dbt
Proficiency in AWS, especially S3, Lambda, EMR, and ECS
Experience with Terraform or equivalent IaC tools
Familiarity with Docker, CD practices
Knowledge of DATA MODELING and Data Governance.
Experience with monitoring and Observability tools
Experience with APACHE SPARK / PY-SPARK
Familiarity with Agentic AI, LLMs, and AWS Bedrock
Knowledge of additional AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow
Experience with InfluxDB and OpenSearch
Familiarity with Collibra Connect, GUIDEWIRE DATA HUB
Experience with Great Expectations or Elementary
Familiarity with Azure DevOps
Knowledge of FinOps and cloud cost optimization
Skills
Snowflake
Python
T-SQL
Terraform
AWS
Docker
Airflow
MWAA
dbt
Grafana
CloudWatch
S3
Lambda
EMR
ECS
Spark
PySpark
AWS Bedrock
Glue
Athena
Secrets Manager
SNS
VPC
EC2
AppFlow
InfluxDB
OpenSearch
Collibra Connect
GUIDEWIRE DATA HUB
Great Expectations
Elementary
Azure DevOps
About the role
Job Title: Senior Data Engineer
Key Skills: Snowflake, T-SQL Python, Terraform, AWS, Docker.
Location: Brazil
Mode: Remote
We are seeking a Senior Data Engineer with strong expertise in Python to design, build, and enhance our data platform utilizing AWS and Snowflake. As a technical reference within the team, you will contribute to architectural decisions while ensuring data quality, reliability, and governance. This role involves developing production-grade Python solutions, including integrations with external APIs and SDKs, as well as custom logic for data pipeline orchestration.
Key Responsibilities
•
Design and maintain scalable data pipelines using Airflow (MWAA).
•
Develop production-grade Python code for API/SDK integrations, data processing, and custom pipeline orchestration.
•
Model and evolve the Snowflake Data Warehouse and build transformations with dbt.
•
Define architecture, development standards, and best practices.
•
Manage infrastructure as code with Terraform.
•
Ensure data quality, monitoring, and reliability using Grafana, CloudWatch, and automated testing.
•
Implement data governance practices, including cataloging, lineage, and access control.
•
Optimize cost and performance across Snowflake, AWS, and Spark.
•
Build and maintain CI/CD processes for data pipelines and models.
Required Skills & Qualifications
•
Solid experience as a Data Engineer in production environments.
•
Advanced Python (version 3.x), including production applications, external APIs/SDKs, error handling, testing, and maintainable code.
•
Advanced T-SQL, including query tuning.
•
Experience with Snowflake and dbt.
•
Proficiency in AWS, especially S3, Lambda, EMR, and ECS.
•
Experience with Terraform or equivalent IaC tools.
•
Familiarity with Docker, CD practices.
•
Knowledge of DATA MODELING and Data Governance.
•
Experience with monitoring and Observability tools.
Preferred Skills
•
Experience with APACHE SPARK / PY-SPARK.
•
Familiarity with Agentic AI, LLMs, and AWS Bedrock.
•
Knowledge of additional AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
•
Experience with InfluxDB and OpenSearch.
•
Familiarity with Collibra Connect, GUIDEWIRE DATA HUB.
•
Experience with Great Expectations or Elementary.
•
Familiarity with Azure Devops.
•
Knowledge of FinOps and cloud cost optimization.
Posted On: 29-09-2026
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.