• Construir e gerenciar pipelines confiáveis de dados envolvendo ingestão/coleta, processamento, integração, armazenamento e disponibilização de dados na organização. • Atuar em uma arquitetura de sistemas distribuídos para o processamento de dados massivos em paralelo (MPP), combinando diversas fontes de dados heterogêneas e colaborando com equipes de análise e ciência de dados na construção de soluções e geração de valor baseadas em dados.

Role Description Co-design, prepare and deliver KPIs, helping commercial areas and sales organization to measure their performance interconnecting available data with a well-designed KPIs strategy. - Design and develop requested KPIs from different areas / countries - Define and implement initiatives to improve the information homologation and standardization - Propose and implement new opportunities to obtain valuable information that can improve the customer experience. - Manage and coordinate several teams from different countries, cultures, backgrounds and expectations - Maintain a constantly evolving model with all project's information Qualifications - Analytics Bachelor Degree or similar, +2 years in digital adoption areas or similar - Commercial, Customer Experience, Process & IT, Analytics, Digital tools Requirements - Software skills for data collection and presentation - Advanced Excel - Statistical programming knowledge - Ability to articulate data-driven decisions - Ability to summarize and present data - Well versed in the latest innovations and trends in the market related to data manipulation products and services - SQL / Snowflake is a must Benefits - Decision making - Problem Solving - Resilience & Adaptability - Strategic Thinking & Execution - Teamwork & Collaboration - Time Management Company Description 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.

Role Description The Engineer II, Data is primarily responsible for building and operating reliable data integrations and data platform capabilities that move sensitive healthcare data securely and consistently. This includes: - Creating new source ingestion feeds and interfaces - Maintaining and troubleshooting existing interfaces - Improving ingestion, validation, and monitoring - Partnering with stakeholders to deliver analytics, warehousing, and reporting solutions - Contributing to platform engineering practices by automating environments, standardizing deployments, and improving observability and reliability for data services Qualifications - 3 to 5 Years of desired work experience - Bachelor's Degree or Equivalent Experience in Computer Science - 2+ years of coding experience with Microsoft SQL - 1+ years working with big data technologies including but not limited to Databricks, Apache Spark, Python, Microsoft Azure (Data Factory, Dataflows, Azure Functions, Azure Service Bus) - Understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery, and DevOps - Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent - Some experience with BI tools, preferably Power BI - Some experience with cloud-based infrastructure, preferably Microsoft Azure - Experience with infrastructure as code and configuration management (e.g., Terraform) and environment standardization - Familiarity with operational excellence practices such as incident response and runbooks - Understanding of security fundamentals for cloud platforms (identity and access management, secrets management, encryption, and audit logging) - Experience packaging and running services using containers and orchestration (e.g., Docker, Kubernetes) and/or serverless patterns - Experience with CI/CD, version control, and release automation for data pipelines and platform components (e.g., Azure DevOps/GitHub Actions) - Very strong attention to detail - Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences Requirements - This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs - Investment in professional development with opportunities for professional certification and tuition reimbursement - Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company

• The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. • Performs complex technical tasks independently • Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes. • Leads the development of new patterns where necessary • Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines.