Mid Analytics Engineer

Posted Yesterday
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Hiring Remotely in Perú
Remote
Senior level
Software • Consulting
The Role
As a Mid Analytics Engineer, you will design and maintain software solutions, develop data pipelines, and lead migration projects in a collaborative team environment.
Summary Generated by Built In

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Mid Analytics Engineer (20265), 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 


  • Collaborate with cross-functional teams to support the migration of data platforms from Snowflake on AWS to Azure Databricks and DBT
  • Develop and maintain data pipelines, transformations, and analytics models using Databricks and DBT
  • Implement and manage infrastructure as code using Terraform to support scalable cloud data environments
  • Troubleshoot and optimize data workflows, ensuring reliable data integration, performance, and documentation of processes

Qualifications and Skills 


  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
  • 5+ years of experience in data engineering or analytics engineering roles
  • Hands-on experience working with cloud data platforms such as Snowflake, Azure Databricks, and DBT
  • Strong experience building and managing infrastructure using Terraform
  • Experience supporting cloud-to-cloud data migration projects and data platform modernization initiatives
  • Strong proficiency in SQL and experience with data modeling and ETL or ELT processes
  • Experience working with CI/CD workflows and Git-based version control systems
  • Familiarity with data governance practices including data cataloging, lineage, monitoring, and data quality checks
  • Understanding of data lakehouse architecture and modern cloud data platform design
  • Strong analytical, problem-solving, and communication skills in collaborative environments

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.  

Top Skills

Azure Databricks
Ci/Cd
Dbt
Snowflake
SQL
Terraform
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The Company
Chennai
7,456 Employees
Year Founded: 1980

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

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