Analytics Platform Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Mid level
Software • Consulting
The Role
Operate and support the analytics platform to ensure reliable data pipelines. Manage on-call incidents, maintain and optimize Airflow DAGs, improve dbt CI/CD and Snowflake performance, maintain data quality and governance, and collaborate with analytics engineering on platform-impacting changes.
Summary Generated by Built In

Job Title: Analytics Platform Engineer

Key Skills: SQL, dbt Core, Snowflake, Airflow, AWS

Location: Brazil

Mode: Remote

We at Coforge are hiring Analytics Platform Engineer with the following skill set.

Key Responsibilities

  • Own and support the operational layer of the analytics platform, ensuring reliability, stability, and performance of data pipelines.
  • Manage on-call activities, including incident triage, root cause analysis, escalation, resolution, and documentation of production issues.
  • Maintain and optimize Apache Airflow DAGs, scheduling, dependencies, and orchestration across bronze, staging, intermediate, and mart data layers.
  • Own and improve dbt CI/CD processes, including GitHub Actions workflows, testing, deployment, and build performance monitoring.
  • Monitor and optimize dbt models and Snowflake workloads, improving query performance, materialization strategies, and platform efficiency.
  • Maintain platform configurations, data quality frameworks, runbooks, and governance processes, including PII/data classification support.
  • Collaborate with Analytics Engineering teams to scope work, support platform-impacting changes, and ensure seamless data platform operations.

 

Required Skills & Qualifications

  • Strong hands-on experience with dbt Core in production environments, including materialization strategies, project configuration, and performance optimization.
  • Advanced SQL proficiency, preferably with Snowflake, including query tuning and performance analysis.
  • Expertise in Apache Airflow, including DAG development, dependency management, scheduling, monitoring, and troubleshooting.
  • Experience building and maintaining CI/CD pipelines for data platforms, using GitHub Actions or similar tools.
  • Strong understanding of ETL/ELT pipelines, data orchestration, and layered data architectures (bronze/staging, intermediate, mart).
  • Experience with data quality frameworks, dbt testing, custom validations, alerting, and production support.
  • Working knowledge of AWS services supporting data pipelines, such as S3, Lambda, and IAM.

 

Preferred Skills:

  • Experience in data platform, analytics infrastructure, or data engineering environments.
  • Previous experience in data platform support, analytics infrastructure, or platform operations rather than business-focused analytics engineering.
  • Knowledge of query profiling, cost optimization, and performance tuning within Snowflake and dbt ecosystems.
  • Experience handling production incident management, on-call support, and platform reliability initiatives.
  • Exposure to PII governance, data classification, and data management best practices.
  • Ability to work independently with minimal ramp-up and take ownership of platform operations.
  • Strong collaboration and stakeholder management skills, with experience contributing to project scoping and cross-functional planning. 



Posted On: 2-07-2026

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.

Skills Required

  • Strong hands-on experience with dbt Core in production, including materialization strategies, project configuration, and performance optimization.
  • Advanced SQL proficiency, preferably with Snowflake, including query tuning and performance analysis.
  • Expertise in Apache Airflow, including DAG development, dependency management, scheduling, monitoring, and troubleshooting.
  • Experience building and maintaining CI/CD pipelines for data platforms, using GitHub Actions or similar tools.
  • Strong understanding of ETL/ELT pipelines, data orchestration, and layered data architectures (bronze/staging, intermediate, mart).
  • Experience with data quality frameworks, dbt testing, custom validations, alerting, and production support.
  • Working knowledge of AWS services supporting data pipelines, such as S3, Lambda, and IAM.
  • Experience in data platform, analytics infrastructure, or data engineering environments.
  • Previous experience in platform support, analytics infrastructure, or platform operations rather than business-focused analytics engineering.
  • Knowledge of query profiling, cost optimization, and performance tuning within Snowflake and dbt ecosystems.
  • Experience handling production incident management, on-call support, and platform reliability initiatives.
  • Exposure to PII governance, data classification, and data management best practices.
  • Ability to work independently with minimal ramp-up and take ownership of platform operations.
  • Strong collaboration and stakeholder management skills, with experience contributing to project scoping and cross-functional planning.

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.

  • 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.
  • 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.
  • 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.

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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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