Job Title: Senior Data Engineer - Azure Databricks
Key Skills: Azure Databricks, DBT, Snowflake, Python, SQL, Terraform
Experience: 5+ YOE.
Location: Costa Rica, Peru, Colombia, and Bolivia.
Mode: Remote.
We at Coforge are hiring Senior Data Engineer - Azure Databricks (#22146) with the following skill set.
Key Responsibilities
· 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 and execute large-scale data migrations from Snowflake (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, ensuring performance and reliability.
· Collaborate with cross-functional teams and mentor junior engineers through best practices and code reviews.
Required Skills & Qualifications
· 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.
Preferred Skills
· Experience in insurance or financial services environments.
· Experience with real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.
· Knowledge of security, compliance, and data protection standards in regulated industries.
· Experience with cloud cost optimization and performance tuning.
· Exposure to multi-cloud or hybrid architectures.
Posted On: 14-08-2026
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 to 8+ years of experience in Data Engineering within enterprise-scale environments.
- Hands-on expertise with Azure Databricks.
- Experience with DBT.
- Experience with Snowflake.
- Proficiency in Python.
- Proficiency in 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.
- 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.
- Experience with real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.
- Knowledge of security, compliance, and data protection standards in regulated industries.
- Experience with cloud cost optimization and performance tuning.
- Exposure to multi-cloud or hybrid architectures.
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
