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.
Skills Required
- 5-8+ years of experience in Data Engineering within enterprise or large-scale data environments
- Hands-on experience with Azure Databricks
- Hands-on experience with dbt (including dbt tests)
- Proficiency in Python
- Proficiency in SQL
- 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 Great Expectations
- Experience processing large-scale, terabyte-level datasets on enterprise data platforms
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
- Strong analytical, troubleshooting, and communication 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
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
