Job Title: Data Engineer
Key Skills: SQL, Spark, Python, Airflow, AWS
Location: Brazil
Mode: Remote
We at Coforge are hiring Data Engineer with the following skill set.
Key Responsibilities
- Translate business and analytical needs into scalable, reliable data solutions and architectures.
- Design, build, and maintain scalable data pipelines and data models that support business performance monitoring, analytics, and reporting, while contributing to the development of the BMP Data Foundation across Hive, Snowflake and data lake environments.
- Support the buildout of data products and applications, including contributing to Streamlit-based pipelines and the development of chatbot capabilities to enhance data access and user interaction.
- Collaborate closely with analytics, data science, and business teams to ensure data availability, quality, and usability for dashboards, reporting, and advanced analyses.
- Enable and support the buildout of advanced analytics, machine learning and AI capabilities, ensuring the necessary data infrastructure, pipelines, and environments are in place to support model development and deployment.
- Contribute to the design and evolution of the data and ML ecosystem, helping establish the infrastructure, processes, and foundations required to scale AI/ML initiatives across the organization.
Required Skills & Qualifications
- Master’s degree in computer science, Data Engineering, Engineering, or a related quantitative field.
- Experience in data engineering, data platform development, or related roles.
- Strong experience with SQL and at least one programming language (Python or equivalent).
- Familiarity with big data and distributed processing frameworks (e.g., Spark / PySpark).
- Experience building and maintaining data pipelines and working with modern data architectures.
- Experience with orchestration tools (e.g., Airflow) and pipeline automation.
- Experience with cloud-based data platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake).
- Strong understanding of data modeling, data quality, and data governance principles.
- Experience with version control systems (Git) and collaborative development workflows.
- Strong problem-solving skills and ability to work with ambiguous requirements.
- Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.
- Fluent in English.
Preferred Skills:
- Experience working with data lake architectures and hybrid data environments.
- Experience supporting machine learning pipelines and infrastructure.
- Exposure to data applications (e.g., Streamlit) and conversational interfaces (chatbots).
- Experience with AI-assisted development tools and practices.
- Experience contributing to documentation and knowledge-sharing platforms (e.g., Confluence).
- Experience working in a matrixed, global organization.
Posted On: 18-07-2026
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
- Collaborate with stakeholders to define and communicate requirements and architecture design for data platforms
- Extensive experience with architecture, governance, security, design, business mapping, performance and tuning for data lake and data warehouse systems
- Experience extracting business and technical requirements from customers and stakeholders
- Strong knowledge of data frameworks: Hadoop (YARN, HDFS), Hive, Spark, Kafka, Pentaho, Airflow, and AWS data tools
- Experience manipulating data using SQL, NoSQL and unstructured data sources, including metadata
- Strong knowledge of ETL frameworks and workflow processes (data ingestion, cleanup, preparation)
- Experience with Python and Java for system administration
- Extensive experience with data modeling and data design
- System administration experience on Linux platforms
- Financial and/or banking domain knowledge
- Experience with AWS platform
- Knowledge of machine learning algorithms and workflows
- Experience with pipeline and workflow orchestration (Oozie, Luigi)
- Experience with Kubernetes
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
