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.

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Our Product DE organization is looking for a Senior Data Engineer reporting to Senior Data Engineering Manager. You will be responsible for designing premier data architecture and solutions that drive strategic decision-making. Beyond technical execution, you will collaborate with business stakeholders to translate operational needs into technical requirements and spearhead initiatives to improve overall system efficiency. In this role, you will: - Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives, - Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth. - Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements. - Leverage deep technical expertise to design and architect scalable, high-performance data solutions. - Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets. - Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval. - Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust. - Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions. - Participate in the team's on-call rotation to ensure platform stability and support operational health. - Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption. - A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role - Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools. - Experience with Databricks and its APIs. - Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes. - Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills. - Champion automated builds and deployments using CICD tools like Bitbucket, Git - Experience working with large-scale, high-performance data processing systems (batch and streaming) - Experience working for SAAS companies - Experience with Machine Learning - Committed code to open source projects - Experience building self-service tooling and platforms Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .