Role Description As a Senior RTCDP Data Engineer & AEP Architect, you will serve as the strategic mastermind and technical anchor for our enterprise data ecosystem. In this dual-faceted role, you will bridge the gap between complex data engineering and high-level enterprise architecture, driving the end-to-end implementation, optimization, and governance of the Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP). - Own the AEP and Real-Time CDP architecture for assigned engagements: data model, identity strategy, profile design, sandbox strategy, governance, and activation patterns. - Make and defend architectural decisions on XDM schemas, field groups, identity namespaces, merge policies, and Real-Time Customer Profile composition. - Design source and destination architecture: which systems land in AEP, which audiences leave it, and the contracts in between. - Review and approve the architectural choices made by other engineers and developers across the engagement, act as the senior technical reviewer. - Design and build ingestion pipelines into AEP: streaming sources, batch ingestion, source connectors, and custom integrations using AEP APIs. - Build and maintain data transformations, mapping sets, computed attributes, and data prep flows that shape raw events and records into usable XDM. - Implement and operate identity stitching: identity graph configuration, namespace management, and stitching rule design. - Operate the data layer in production: monitor ingestion health, identity graph health, segmentation latency, and destination delivery; lead incident response on data issues. - Author Technical Specification Documents that translate solution designs into precise, buildable specifications: schemas, mappings, identity rules, segmentation logic, and integration contracts. - Validate TSDs authored by other engineers — own the quality bar for what counts as a complete, unambiguous spec at Integris. - Run TSD reviews with developers, testers, solution architects, and client stakeholders; drive specs to a signed-off, baseline state before build begins. - Design and enforce data governance on AEP: data usage labels, access controls, sandbox strategy, and privacy/consent enforcement. - Set the quality bar for the data layer: schema validation, ingestion monitoring, identity graph health, segmentation accuracy, and destination reconciliation. - Act as the senior technical voice on the engagement: in client architecture reviews, design workshops, and steering committees. - Translate complex architectural trade-offs into clear, plain-language recommendations for client executives, marketing leaders, and project sponsors. Qualifications - Bachelor's Degree in Computer Science, Engineering, or a related field. - 7+ Years of experience working in data engineering, Martech architecture, or a closely related technical discipline. - 3+ Years of experience working with Adobe Experience Platform and Real-Time CDP. - Working knowledge of Adobe Journey Optimizer and/or Adobe Campaign. - Demonstrated AEP architecture experience: XDM schema and identity strategy, Real-Time Customer Profile design, sandbox strategy, segmentation architecture, and activation patterns. - Strong data engineering fundamentals: data modeling, SQL, ETL/ELT design, streaming and batch ingestion patterns, and data quality engineering. - Hands-on experience with AEP APIs, Query Service, data distiller, source/destination connectors, and identity service. - Strong skills in at least one general-purpose language (Python or JavaScript preferred) for integration, automation, and pipeline work. - Proven ability to author Technical Specification Documents that developers and testers can build and validate against without significant clarification cycles. - Experience with cloud data platforms (Snowflake, Databricks, BigQuery) and the patterns for integrating them with AEP. - Solid understanding of identity management, consent and privacy frameworks (GDPR, CCPA, HIPAA where relevant), and data governance practices on AEP. - Advanced English Level is required for this role, as you will work with US clients. Benefits - Competitive USD salary. - 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. - Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. - Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. - Annual credit: Spend it on the perks you love to enhance your work-life balance. - Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. - Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. Company Description For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives.

Role Description Winship is seeking qualified candidates for the Oncology Data Specialist-Certified position. Position details are as follows: - Responsible for case finding, data abstraction and follow-up of patients with a diagnosis of cancer. - Performs clinical data abstraction by capturing the complete patient history, diagnosis, staging and treatment information for all patients accessioned into the cancer registry in accordance with the guidelines established by the American College of Surgeon Commission on Cancer and the Georgia Central State Cancer Registry. - Utilizes cancer data collection principles and assigns codes to the extracted data based on established coding systems (STORE, SEER, ICD-O3, AJCC Staging 8th Ed) to ensure consistency and compliance with reporting guidelines. - Performs quality assurance activities when assigned such as: - Review of abstracted data for accuracy - Peer reviews - Resolution of data edits - Conduct non-reportable audits to ensure that all reportable cases are captured - Consolidation of multiple data reports into a concise record for each cancer case - Inclusion of additional treatment and follow-up information obtained after completion of the initial abstract - Attends and participates in professional conferences, seminars, or workshops to keep current on information related to the Cancer Registry and cancer treatment. - Adheres to HIPAA privacy regulations and other virtual office procedures. - Performs other duties as assigned. Qualifications - Associate's degree in a related field. - Must be an (ODS-C) Oncology Data Specialist Certified by the National Cancer Registrar Association. - **Please only apply if you are ODS-C Certified** Company Description About Winship Cancer Institute of Emory University: - Dedicated to discovering cures for cancer and inspiring hope. - Georgia’s only National Cancer Institute-designated Comprehensive Cancer Center. - Researching, developing, teaching, and providing novel and highly effective ways to prevent, detect, diagnose, treat, and survive cancer. - Leading cancer specialists collaborating across disciplines to tailor treatment plans to each patient’s needs and type of cancer. - Innovative therapies and clinical trials. - Comprehensive patient and family support services. - A personalized care experience aimed at easing the burden of cancer. - Winship is Where Science Becomes Hope®.

Role Description Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e.g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: - Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners - Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake - Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact - Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases Qualifications - 5+ years of relevant industry experience - Passion for high data quality and impactful analytics engineering work - Expert SQL skills for data modeling and query optimization - Extensive experience with self-service, advanced analytics, semantic and metrics layers - 3+ Years of Experience with Python and DBT - Strong understanding of data warehousing concepts and best practices - Efficient problem-solving and analytical skills - Proven ability to succeed in both collaborative and independent work environments at a remote-work company - Proven experience managing concurrent complex data projects from start to finish - Continuous learner with an eye on industry trends and new technologies - Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience - Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation Requirements - Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling - Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery - Proficiency in source code management tools such as GIT, BitBucket, etc. - Experience working with Cloud Technologies (AWS/GCP/Azure) - Experience working with various semi-structured data formats (ex. JSON) - Experience building data solutions for future scale and analytics use-cases - 3+ years of development experience on industry standard BI tools - ML analytics engineering experience a plus - Marketing Analytics experience a plus Benefits - Equity: Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth - Time Off & Wellbeing: - 26 paid vacation days annually, regardless of tenure - 12 Wellness Days — one fully paid day off each month to recharge, available on an ad-hoc basis and not carried over month to month - 24 hours of paid volunteer time to support meaningful causes outside of work - 3 fully paid volunteering days each year through Appfire Town, our Corporate Social Responsibility (CSR) program supporting local communities - Learning & Development: Grow with Appfire University — our custom, on-demand learning platform designed to support continuous learning and professional development - Health & Lifestyle: - Private health insurance through UNIQA, fully covered by Appfire Bulgaria - Multisport Card with access to hundreds of gyms, studios, and swimming pools across Bulgaria, fully paid by Appfire - Food vouchers via a prepaid Pluxee lunch card with a monthly allowance - Transportation: Employees in Sofia receive a fully paid Sofia City Transport Card, providing access to all forms of public transportation within the city - Family Support: Employees receive a one-time net Baby Bonus upon the birth of a child - Flexibility: This role is fully remote within Bulgaria

Title: Senior Big Data Engineer (R-19335) Location: Hyderabad - India Workplace: hybrid Category: Technology Job Description: Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Designation: Senior Software Engineer – Big Data Location: Hyderabad About Us: We are a global organization driven by a diverse community of professionals who bring unique experiences and perspectives to everything we do. Whether working from a corporate office or remotely, we stay connected by listening to our customers and collaborating on impactful solutions. Our products and services power businesses of all sizes, across industries. At the core of our operations are our values: being data-inspired, relentlessly curious, and inherently generous. These values guide our decisions, shape our culture, and define how we work together. Role Overview: We are looking for a Senior Software Engineer – Big Data to design, build, and optimize modern data platforms and pipelines. This role requires strong expertise in big data technologies, cloud environments, and data engineering best practices, with a focus on scalability, performance, and innovation. Key Responsibilities : - Design, build, deploy, and document scalable data pipelines within big data ecosystems - Develop ETL/ELT pipelines using modern data processing frameworks and tools - Work with data lake architectures and modern data warehousing concepts such as virtual data warehouses and push-down analytics - Build and optimize data solutions using file formats such as Parquet, Iceberg, and Delta - Develop high-performance solutions using Python, Databricks, and Apache Spark - Work with cloud infrastructure, primarily on GCP Design and manage relational databases including DB2, Oracle, and SQL Server with strong SQL expertise - Implement workflow scheduling and orchestration using Apache AirflowManage big data clusters including installation, configuration, monitoring, security, resource allocation, and performance tuning - Create detailed design documents and proof of concepts for new capabilities - Collaborate with platform and infrastructure teams to deploy solutions into production - Optimize workloads, manage multi-tenant environments, and ensure SLA adherence - Participate in planning, data science initiatives, and continuous platform improvement Key Requirements: - Minimum 8 years of experience in ETL/ELT technologies - 4+ years of hands-on experience with big data technologies such as Databricks and Apache Spark - Minimum 6 years of experience working with cloud platforms, preferably GCP - Strong programming expertise in Python - Experience with relational databases and complex SQL development - Exposure to NoSQL and graph databases is a plus - Experience with access control mechanisms such as role-based and attribute-based access - Familiarity with BI tools such as Tableau, Power BI, or Looker - Hands-on experience managing and deploying cloud-based solutions - Experience working in a global environment and DevOps model is an advantag Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.