Senior Data Engineer

RemoteSeniorData Engineerposted 1w ago

✦Role summaryAI-generated

This role focuses on designing and maintaining scalable data pipelines in AWS and Snowflake using Airflow, Python, and dbt, while ensuring data quality and governance. The senior engineer will also manage CI/CD pipelines, infrastructure as code with Terraform, and oversee cost optimization across the data platform.

Skills required

Python Snowflake AWS dbt Airflow T-sql Terraform Data modeling Data governance CI/CD SQL Data pipelines Data architecture Data quality Data engineering Docker Spark Agentic AI AI LLMs Azure DevOps

About this role

Job Title: Senior Data Engineer
Key Skills: Python, Snowflake, AWS, dbt, Airflow, T-SQL, Terraform, Data Modeling, Data Governance, CI/CD
Experience: 5–7 YOE
Location: Brazil
Mode: Remote

We at Coforge are hiring Senior Data Engineer (#20321-6-1) with the following skill set.

Key Responsibilities

Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt.
Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration.
Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control.
Manage infrastructure and CI/CD processes while optimizing cost and performance across Snowflake, AWS, and Spark environments.

Required Skills & Qualifications

5–7 years of experience in Data Engineering, including production environments.
Advanced Python 3.x skills, including production applications, API/SDK integrations, error handling, testing, and maintainable code.
Hands-on experience with Snowflake and dbt; Snowflake experience is mandatory.
Advanced T-SQL skills, including query tuning.
Strong AWS experience, particularly with S3, Lambda, EMR, and ECS.
Experience with Airflow and scalable data pipeline orchestration.
Experience with Terraform or equivalent Infrastructure as Code (IaC) tools.
Familiarity with Docker and continuous delivery practices.
Knowledge of Data Modeling and Data Governance.
Experience with monitoring and observability tools such as Grafana and CloudWatch.

Preferred Skills:

Experience with Apache Spark and PySpark.
Familiarity with Agentic AI, LLMs, and AWS Bedrock.
Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
Experience with InfluxDB and OpenSearch.
Familiarity with Collibra Connect and Guidewire Data Hub.
Experience with Great Expectations or Elementary.
Familiarity with Azure DevOps.
Knowledge of FinOps and cloud cost optimization.

Posted On: 21-10-2026

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.