Senior Data Engineer

Encora10; Campinas; Remote; BRL 240,000 - 360,000; Full time

Job summary

Coforge in Brazil seeks a Senior Data Engineer to design, build, and optimize data pipelines on AWS and Snowflake. You will craft production-grade Python solutions, implement API/SDK integrations, and drive governance and data quality across the platform.

You will design scalable pipelines with Airflow MWAA, manage IaC with Terraform, and evolve the Snowflake data warehouse with dbt. Collaboration on architecture, testing, and cost optimization is essential.

Qualifications

• Solid experience as a Data Engineer in production environments.
• Advanced Python (3.x) with production-grade code and API/SDK integrations.
• Advanced T-SQL and Snowflake/dbt experience.
• AWS expertise (S3, Lambda, EMR, ECS) and IaC tooling.
• Data modeling, governance, and observability fundamentals.

Responsibilities

• Design and maintain scalable data pipelines using Airflow MWAA.
• Develop Python code for API/SDK integrations, processing, and orchestration.
• Model and evolve Snowflake data warehouse with dbt.
• Define architecture and development standards; manage Terraform IaC.
• Ensure data quality, monitoring, testing, and governance.

Skills

Snowflake

T-SQL

Python

Terraform

AWS

Docker

Airflow MWAA

Data governance

Data modeling

Observability

Tools

dbt

Airflow

Snowflake tooling

Terraform

Docker

S3 / AWS services

Job description

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.

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.