Senior Data Engineer

Posted Yesterday
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Hiring Remotely in Brazil
Remote
Senior level
Software • Consulting
The Role
Design, build, and operate scalable data pipelines and lakehouse solutions using Azure Databricks, DBT, Snowflake and Python. Lead migrations, implement data quality and observability, support production SLAs, and mentor junior engineers while ensuring governance, cost optimization, and reliability.
Summary Generated by Built In

Job Title: Senior Data Engineer
Key Skills: DBT, Python, SQL, Snowflake, Databricks
Location: Brazil
Mode: Remote
We at Coforge are hiring Senior Data Engineer with the following skill set.
Key Responsibilities

  • Delivery & Ownership
  • Own the end-to-end delivery of data pipelines and data products, from design through deployment and production support
  • Develop, maintain, and optimise scalable data pipelines using Azure Databricks, DBT, and Python
  • Ensure solutions are production-ready, reliable, and meet defined SLAs
  • Migration & Platform Engineering
  • Execute and support migration of data from Snowflake (AWS) to Azure using Databricks, DBT, and Lakebridge
  • Build and manage infrastructure-as-code using Terraform to enable scalable and repeatable deployments
  • Ensure seamless integration between legacy systems and the Azure data platform
  • Data Quality, Observability & Governance
  • Implement data quality frameworks (e.g., DBT testing, validation rules) to ensure trusted data pipelines
  • Enable observability through logging, monitoring, and alerting of pipelines and data workflows
  • Support data governance standards including data lineage, consistency, and compliance requirements
  • Architecture & Engineering Excellence
  • Contribute to the design and architecture of scalable data solutions, aligned with lakehouse principles
  • Apply best practices in data modelling, performance optimisation, and cost efficiency
  • Follow and promote engineering standards, including modular design and reusable components
  • Production Support & Reliability
  • Monitor and maintain data pipelines in production, ensuring high availability and performance
  • Troubleshoot issues and perform root cause analysis (RCA) for incidents
  • Continuously improve system stability, resilience, and operational processes
  • Collaboration & Technical Leadership
  • Work closely with cross-functional teams (data, product, architecture, business) to translate requirements into scalable technical solutions
  • Provide guidance and mentorship to junior engineers through code reviews and best practices
  • Contribute to documentation of architecture, pipelines, and operational processes

Required Skills & Qualifications

  • Strong hands-on expertise with: Azure Databricks, DBT, Snowflake, Python and SQL
  • Proven experience building and managing large-scale data pipelines and transformations
  • Experience working with high-volume datasets (e.g., terabytes, complex data models, multiple pipelines)
  • Solid understanding of: Data modelling and ETL/ELT frameworks, Distributed data systems and lakehouse architectures, Experience with Terraform and infrastructure-as-code 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
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to work across technical and non-technical stakeholders
  • Experience in insurance or financial services domains is highly desirable

Preferred Skills:

  • Experience with real-time/streaming technologies (Kafka, Event Hubs, Delta Live Tables)
  • Knowledge of security, compliance, and data protection standards in regulated industries
  • Experience with cost optimisation and performance tuning in cloud environments
  • Exposure to multi-cloud or hybrid architectures

Posted On: 14-07-2026
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

  • Hands-on expertise with Azure Databricks, DBT, Snowflake, Python and SQL
  • Proven experience building and managing large-scale data pipelines and transformations
  • Experience working with high-volume datasets (terabytes, complex data models, multiple pipelines)
  • Experience with data modelling and ETL/ELT frameworks
  • Knowledge of distributed data systems and lakehouse architectures
  • Experience with Terraform and infrastructure-as-code 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 (e.g., DBT testing)
  • Strong problem-solving, analytical and communication skills
  • Experience in insurance or financial services domains
  • Experience with real-time/streaming technologies (Kafka, Event Hubs, Delta Live Tables)
  • Knowledge of security, compliance, and data protection standards in regulated industries
  • Experience with cost optimisation and performance tuning in cloud environments
  • 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.

  • 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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