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Senior Data Engineer

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AI Summary

Designs and maintains scalable data pipelines and the Snowflake data warehouse, develops production-grade Python solutions, and defines architecture and governance standards.

About this 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.

Skills

Apache AirflowAWSCI/CDCloudWatchData GovernanceData ModelingDbtDockerGrafanaPythonSnowflakeTerraformT-SQL

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