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Senior Data Engineer - Azure Databricks

1 month, 1 week ago
Bolivia, Peru, Colombia, Costa Rica
Full-time
Senior
Data Engineer
DevOps and Infrastructure
AWS CI/CD dbt Git Kafka Python Snowflake SQL Terraform
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Coforge

Coforge

Coforge is a global digital services provider specializing in transforming businesses through technology and industry expertise, powering growth with innovative solutions and platforms.

IT Services
10K-50K
Founded 1992
View All Jobs 24

Description

  • Own the end-to-end delivery of data pipelines and data products from design through deployment and production support.
  • Develop, maintain, and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
  • Support large-scale data migrations from Snowflake on AWS to Azure Databricks.
  • Build and manage infrastructure-as-code solutions using Terraform.
  • Ensure seamless integration across enterprise data platforms and environments.
  • Implement data quality frameworks, testing, and validation processes.
  • Enable observability through monitoring, logging, and alerting solutions.
  • Contribute to the design of scalable data architectures aligned with Lakehouse principles.
  • Monitor and support production environments to ensure performance and reliability.
  • Collaborate with cross-functional teams and mentor junior engineers through best practices and code reviews.

Requirements

  • 5 to 8+ years of experience in Data Engineering within enterprise-scale environments.
  • Strong hands-on expertise with Azure Databricks, DBT, and Snowflake.
  • Strong proficiency in Python and SQL.
  • Proven experience building and managing large-scale data pipelines and transformations.
  • Experience working with high-volume datasets and complex data models.
  • Solid understanding of data modeling, ETL/ELT frameworks, distributed systems, and Lakehouse architectures.
  • Experience with Terraform and Infrastructure as Code (IaC) 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.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience in insurance or financial services environments (preferred).
  • Experience with real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables (preferred).
  • Knowledge of security, compliance, and data protection standards in regulated industries (preferred).
  • Experience with cloud cost optimization and performance tuning (preferred).
  • Exposure to multi-cloud or hybrid architectures (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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