• Unlock business-critical reporting through the ingestion of disparate data sources into our centralized data platform, including Marketing data from Google Ads, Google Analytics, Google Tag Manager, LinkedIn, Meta and other sources • Reveal key insights through proper data modeling, aggregation and analysis in our data warehouse to enable reporting on ad campaign performance, attribution and user journey analysis • Own and maintain data pipelines that support the essential day-to-day operation of Crowd Street’s business • Collaborate with Application Engineering, Product Management, Marketing and other teams to identify and deliver the highest impact enhancements in a timely manner • Monitor and manage the overall effectiveness of the data platform to balance performance, stability, and cost

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Infosys is looking for Palantir Technology with deep expertise in Palantir Data Foundry, Ontology and Python, TypeScript and PySpark knowledge. Qualifications - Candidate must be located anywhere in the US. - Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. - At least 7 years of Information Technology experience. - Expertise in Palantir Data Foundry, Ontology and Python knowledge. - Proficient with Transform API within Foundry. - Proficient with batch, real time use case realization in Foundry using Pipeline builder. - Proficient with setting up source syncs, health checks and data expectations. - Must have Implementation experience with objects, links, actions, and functions in the Ontology. - Must have Ability to structure and relate data using the Object Data Layer. - Hands on Knowledge on Foundry’s Ontology and data structures. - Build powerful applications by weaving together objects, links, and actions. - Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing. - Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts. - Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets. TypeScript knowledge must require. - Recommend solutions to improve new and existing application solutions. - Offer support by responding to system problems in a timely manner. - Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process. Requirements - Utilities domain experience (Transmission & Distribution). - Possessing Palantir Foundry Data Engineer Certification is a plus. - Application development on the Foundry. - Experience working in Agile environments. - Experience in project development lifecycle activities and maintenance/support. - Ability to translate requirements into technical solutions meeting quality standards. - Strong communication, problem-solving and analytical abilities. - Experience in global delivery environments. - Commitment to staying current with industry trends in modern data warehousing. - The job entails sitting as well as working at a computer for extended periods of time. - Should be able to communicate by telephone, email or face to face. Benefits - Medical/Dental/Vision/Life Insurance. - Long-term/Short-term Disability. - Health and Dependent Care Reimbursement Accounts. - Insurance (Accident, Critical Illness, Hospital Indemnity, Legal). - 401(k) plan and contributions dependent on salary level. - Paid holidays plus Paid Time Off. Company Description Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.

• Provide end-to-end ownership of a legacy population health analytics product, with a primary focus on backend data pipelines and full responsibility for the associated full-stack application • Own, operate, and maintain a production analytics product, including data ingestion, transformation, orchestration, and the user-facing application • Build, maintain, and debug backend data pipelines using Airflow, Python (Pandas, Selenium), Snowflake, dbt, and Airbyte, with a strong emphasis on data quality, reliability, and performance • Take full-stack responsibility for the analytics application, including backend services (Node.js) and frontend components (React) • Handle all bug fixes, operational issues, and production incidents for the product, developing deep understanding of system behavior and failure modes • Investigate data quality issues, pipeline failures, and application-level defects, and implement durable, well-reasoned fixes • Make pragmatic improvements to legacy codebases across the stack, balancing delivery speed, correctness, and maintainability • Communicate clearly about system health, root causes, and technical tradeoffs with teammates and stakeholders

• Work closely with Full Stack developers, other data engineers, and data scientists to deliver production-ready data via APIs or ML models. • Implement the architecture of a data platform (Data Lakehouse) and maintain the data lifecycle, ensuring integrity at every stage of the pipeline. • Configure and optimize Apache Iceberg tables to support ACID transactions, schema evolution, and hidden partitioning, ensuring consistency and concurrent reads. • Build automated Airflow workflows with preprocessing and metadata extraction using a factory pattern. • Implement data contracts and automated pipeline quality tests, ensuring the Lakehouse is a reliable source of truth for the company's products. • Apply DevOps best practices to ensure the platform infrastructure is provisioned with Terraform.