Job Title: Lead Data Engineer

Key Skills: Snowflake, Azure Databricks, DBT, Terraform, SQL, ETL/ELT, Azure Cloud, CI/CD, Data Migration, Data Architecture

Experience: +8 YOE. 

Location Bolivia

Mode: Remote 

We at Coforge are hiring Position (#20978) with the following skill set. 

Key Responsibilities 

• Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
  
• Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.
  
• Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.
  
• Design and implement Infrastructure-as-Code solutions using Terraform and manage CI/CD workflows.
  
• Collaborate with cross-functional stakeholders to align data initiatives with business and technical goals.

Required Skills & Qualifications 

• 8+ years of experience in Data Engineering, including leadership or technical lead experience.
• Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.
• Deep experience with Terraform and cloud infrastructure automation.
• Proven experience leading large-scale cloud data migration projects, preferably AWS to Azure.
• Advanced proficiency in SQL, data modeling, and ETL/ELT frameworks.
• Strong understanding of scalable data architecture and performance optimization.
• Experience with CI/CD pipelines and Git-based version control.
• Mandatory experience within the insurance industry and knowledge of insurance data domains.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to work effectively in fast-paced and collaborative environments.

Preferred Skills: 

• Experience with data governance and observability frameworks.
• Knowledge of security and compliance standards related to insurance or financial data.
• Familiarity with Kafka, Event Hubs, or real-time data processing solutions.
• Experience designing lakehouse architectures and cost-optimization strategies.
• Exposure to multi-cloud environments and advanced automation practices.

Posted On: 8-05-26 

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.  

Job Title: Senior Data Analyst

Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools

Experience: +5 YOE.

Location:  Bolivia

Mode: Remote

We at Coforge are hiring Position (#21027) with the following skill set. 

Key Responsibilities 

• Analyze large and complex datasets to generate actionable business insights.
  
• Develop and optimize advanced SQL queries, joins, and data transformations.
  
• Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
  
• Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
  
• Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
  
• Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
  

Required Skills & Qualifications 

• Advanced proficiency in SQL, including complex queries, joins, and data transformations.
• Hands-on experience with Snowflake or similar cloud data warehouse platforms.
• Strong experience with pivot tables and data analysis using Excel or Google Sheets.
• Experience troubleshooting and resolving data quality and integrity issues.
• Knowledge of AI or machine learning tools for large-scale data analysis.
• Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and presentation skills.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).

Preferred Skills: 

• Experience working in Agile environments.
  
• Familiarity with Python or R for data analysis.
  
• Knowledge of ETL/ELT processes and data pipelines.
  
• Experience working with business intelligence and reporting frameworks.
  
• Exposure to cloud platforms such as AWS, Azure, or GCP.

Posted On: 8-May-26 

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.  

Important Information 

Location: Bolivia

Work Mode: Hybrid 

Job Summary 

As a Lead Data Engineer (20627), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Lead and mentor a team of data engineers, providing technical guidance, code reviews, and enforcing best practices to ensure high-quality deliverables
• Own and drive the end-to-end data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, and optimization
• Design and oversee scalable, secure, and reliable data pipelines and cloud infrastructure using Azure and infrastructure-as-code practices
• Collaborate with cross-functional stakeholders to align data initiatives with business goals and ensure efficient data integration and transformation

Qualifications and Skills 

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

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