We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io   As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.  About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x’s machine learning initiatives and future analytics-driven product features.    This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.  What You’ll Do  - Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.  - Contribute to the evolution of K1x’s data lakehouse strategy, including adoption of Snowflake.  - Develop and maintain robust ETL/ELT pipelines for large-scale data processing.  - Implement data quality checks, validation, and monitoring.  - Enable machine learning workflows with clean, well-structured datasets.  - Support analytics and reporting use cases including Power BI.  - Partner with Product, Engineering, and AI teams on data solutions.

• Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL on modern lakehouse architectures. • Develop data solutions using tools such as Azure Data Factory, Synapse, Fabric, Airflow, or dbt. • Build and maintain data models and pipelines that support forecasting and customer retention/churn use cases, including feature engineering and reproducibility. • Integrate data from multiple transactional systems (ERP, CRM, etc.), ensuring proper standardization, entity resolution, and consistency across datasets. • Implement data quality frameworks, validation processes, and monitoring to ensure reliability and accuracy of data pipelines. • Design dimensional and semantic data models to support BI and analytics consumption, enabling drill-down capabilities from executive dashboards to detailed views. • Collaborate with analytics and business teams to support reporting, forecasting, and AI-driven initiatives. • Ensure data solutions are scalable, performant, and aligned with best practices in data architecture.

In this role, you will demonstrate responsibility for all SAP ABAP development tasks using SAP BTP and ensure completion of custom developments with good quality, on time delivery and efficiency. You will - Apply clean code principles: execute code reviews, code inspections, unit testing, performance measurements and other quality tasks. - Perform development tasks in a self-reliant way. - Work closely with Architect, Senior Developers and other stakeholders to achieve effective design and code reviews. Author software design and technical documentation At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• Desenvolver e evoluir pipelines de dados e IA de forma escalável e padronizada; • Projetar e implementar soluções de engenharia de dados em ambiente cloud (Google Cloud Platform); • Construir componentes reutilizáveis, como frameworks, operadores e templates; • Garantir boas práticas de engenharia, incluindo testes automatizados, versionamento e CI/CD; • Integrar serviços da plataforma (BigQuery, Cloud Storage, Vertex AI, entre outros); • Contribuir com decisões arquiteturais considerando performance, custo e governança; • Colaborar com times de dados, engenharia e IA para garantir alinhamento técnico e de negócio;