Encora Inc.

Senior Data Engineer

Encora Inc.  •  Colombia, CO (Onsite)  •  2 hours ago
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Job Description

Job Title: Senior Data Engineer

Key Skills: Azure Databricks, dbt, Python, SQL, Terraform, CI/CD, Data Pipelines, ETL/ELT, Lakehouse, Azure

Experience: 5–8+ years of experience.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote.

We at Coforge are hiring Senior Data Engineer (#22301) with the following skill set.

Key Responsibilities

· Design, build, and maintain scalable data pipelines and dbt models on Azure Databricks, delivering reliable Silver and Gold data layers for analytics and business consumption.

· Develop and manage Infrastructure as Code using Terraform while implementing CI/CD pipelines, monitoring, logging, and automated deployments.

· Ensure high data quality by implementing validation frameworks, reconciliation checks, observability, and production support to meet pipeline SLAs.

· Mentor junior engineers through code reviews, engineering best practices, and technical guidance while contributing to reusable components and platform documentation.

Required Skills & Qualifications

· 5–8+ years of experience in Data Engineering within enterprise or large-scale data environments.

· Strong hands-on experience with Azure Databricks, dbt, Python, and SQL.

· Proven experience designing, building, and supporting production-grade ETL/ELT pipelines with monitoring, alerting, and incident resolution.

· Strong understanding of data modeling, distributed data systems, and Lakehouse architectures.

· Hands-on experience with Terraform and Infrastructure as Code (IaC).

· Experience implementing CI/CD pipelines and Git-based version control.

· Knowledge of data quality, testing, and observability frameworks such as dbt tests, Great Expectations, or equivalent.

· Experience processing large-scale, terabyte-level datasets on enterprise data platforms.

· Strong analytical, troubleshooting, and communication skills.

· Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).

Preferred Skills:

· Experience with Azure AI Search, Lakebase, or Databricks serving capabilities.

· Knowledge of real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.

· Experience in insurance or financial services environments.

· Experience optimizing cloud performance and costs.

· Familiarity with Snowflake-to-Databricks migrations, Lakebridge, or cloud migration initiatives.

Posted On: 17-07-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Encora Inc.

About Encora Inc.

Encora is a global digital engineering company built for a new era of AI-powered businesses. Forged in Silicon Valley, we grew up serving digital natives who demanded speed, scale, and flawless experiences. Today, we bring that same DNA to enterprises worldwide, enabling speed and hyper-adaptability, moving them further along their quest to become more composable and agile.

With two decades at the convergence of Cloud, Data, and AI, we help organizations move beyond rigid, legacy models to become composable enterprises, through adaptive systems designed to sense change and reconfigure in real time.

More than 9,500 engineers, designers, and domain experts across the Americas, Europe, India, and Southeast Asia give Encora the ability to combine nearshore agility with global scale. Backed by Advent International and Warburg Pincus, we deliver innovation acceleration and modernization across industries, powered by Encora AIVA™, our orchestration platform for AI-native engineering.

We believe the future won’t be built by humans or machines alone, but by human creativity amplified by limitless machine intelligence. At Encora, that’s how we help our clients build fast and adapt faster.

Industry
IT & Software
Company Size
5,001-10,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
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