• Design, build, and manage end-to-end RAG pipelines for enterprise AI applications. • Lead preprocessing of unstructured data, including discovery, classification, cleansing, redaction, and metadata enrichment. • Develop and optimize document chunking, embedding, and vectorization strategies for structured and unstructured datasets. • Coordinate ingestion of curated datasets into vector databases and AI platforms. • Package curated unstructured datasets as governed, reusable data products for enterprise consumption. • Define and implement metadata tagging strategies to align with Collibra governance standards. • Partner with Data Governance and Data Quality teams to ensure AI-ready data meets enterprise standards for lineage, classification, and compliance. • Evaluate and optimize embedding models, retrieval strategies, and indexing performance. • Monitor and tune RAG pipeline performance, including latency, retrieval accuracy, and cost efficiency. • Implement automation for document ingestion, transformation, and publishing workflows. • Support integration with enterprise AI platforms (e.g., ChatGPT Enterprise, AskSage, Moveworks). • Conduct cost analysis and capacity planning for vector storage and processing workloads. • Provide technical guidance on AI data readiness and unstructured data lifecycle management. • Design, implement, and optimize enterprise-grade RAG and prompt engineering frameworks, including context engineering strategies (chunking, metadata enrichment, semantic filtering, dynamic context management) to improve retrieval accuracy, grounding, and response quality. • Develop and maintain scalable multi-modal data pipelines that ingest, preprocess, embed, and integrate text, documents, images, audio, and structured data into governed vectorized data products consumable by enterprise AI platforms.

• Wspieraniu klientów w tematyce inżynierii i analityki dużych zbiorów danych w środowisku chmurowym – tworzenie rozwiązań od koncepcji po wdrożenie oraz inne fazy procesu SDLC/DDLC • Definiowaniu rozwiązań Data Intelligence i zarządzaniu ich wdrażaniem pod kątem technicznym i metodycznym • Wspieraniu celów biznesowych naszych klientów poprzez opracowywanie i wdrażanie rozwiązań analitycznych • Budowaniu Proof of Concept (PoC) i nadzorowaniu architektury Microsoft dla naszych klientów • Dzieleniu się wiedzą i pełnieniu funkcji trenerskiej w zakresie Azure Data Intelligence, oferowaniu wsparcia pracownikom, związanego z tematyką BI i analityką danych • Współpracy z innymi działami biznesowymi w celu dostarczania przydatnych rozwiązań analitycznych • Proponowaniu nowych możliwości wykorzystania danych, wdrażaniu nowoczesnych rozwiązań analitycznych oraz dbaniu o najwyższą jakość analiz i raportów, które pomagają kształtować strategiczne decyzje biznesowe

• Design, develop, and maintain optimal data pipelines and workflows. • Provide technical guidance on architecture design and collaborate with Data Engineers for implementation. • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. • Perform data integration, transformation, and cleaning to create insightful and actionable data for the business. • Translate business requirements into technical specifications and finished products. • Participate in code reviews and contribute to team knowledge sharing. • Lead the development and maintenance of documentation for data engineering processes and systems. • Create ad-hoc reports requested by internal and external partners. • Work as a team to support and troubleshoot errors for 100+ data pipelines. • Work closely with the application development team to update data and data structures. • Provide analysis, recommendations, and feedback to business process owners, leadership team, and the Information Technology department. • Propose automated solutions to repeated development tasks.

Job Title Senior Data Engineer, 1 Job Description About The Position | Major goals and objectives and location requirements About The Positions Contributions: Weight % Accountabilities, Actions and Expected Measurable Results 60% You will enhance our systems by building new data integration pipelines and adding new data to our data lakes and warehouses while continuously optimizing them. You will work with internal team members as well as stakeholders to scope out business requirements and see data deliverables through to the end where they will be used via our Looker platform. You will continuously look for ways to improve our data transformations and data consumption processes so that our systems are running efficiently, and our customers are able to use and analyze our data quickly and effectively. 40% You will champion coding standards and best practices by actively participating in code reviews, and working to improve our internal tools and build process. You will work to ensure the security and stability of our infrastructure in a multi-cloud environment. You will collaborate with our Analytics engineers to ensure data integrity and the quality of our data deliverables. The Role’s Minimum Qualifications and Job Requirements Education: Degree in a quantitative field, such as computer science, statistics, mathematics, engineering, data science, or equivalent experience. Experience: A minimum of 5+ years of experience in building and optimizing data pipelines with Python. You have experience writing complex SQL queries to analyze data. Window functions and nested subqueries are second nature to you. You have commendable experience with at least one cloud service platform (GCP and AWS preferred). You've worked with data at scale using Apache Spark, Beam or a similar framework. You're familiar with data streaming architectures using technologies like Pub/Sub and Apache Kafka. You are eager to learn about new tech stacks, big data technologies, data pipelining architectures, etc. and propose your findings to the team to try and optimize our systems. Specific Knowledge, Skills, Certifications and Abilities: Strong Python and SQL skills. Experience with Google Cloud Platform is a plus. It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc . The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees Pay Range Salary: $140,000 - $170,000 The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, People Inc. provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance. #CORP#