17804 Databricks Jobs - Page 11

ABOUT THE ROLE Role Description: The Specialist Software Engineer collaborates with Salesforce /Veeva CRM Admins, Data Engineers, and Architects to streamline the delivery of Veeva CRM/ Salesforce solutions via Amgens Copado-based CI/CD pipelines. D evelop /configure applications that can be used on the go (mobile-first) using standards-based solutions such as Lightning Web Components, toolset will include Visual Studio Code, SFDX, working with tools such as Copado CI/CD, Git and support integration technologies such as MuleSoft or Databricks. This role involves configuring and custom coding within CRM (Salesforce or Vault) to build features that support Sales business users. Roles & Respons...

ABOUT THE ROLE Role Description: Amgen is seeking a Specialist Software Engineer to contribute to designing, building, maintaining , analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing data pipelines, supporting and executing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills and experience with MuleSoft, Databricks, Airflow and AWS. Roles & Responsibilities: Ability to lead integrations teams across different tech stacks such as Databricks, MuleSoft for both development and support...

What you will do In this vital role the Sales Operations Manager, Reporting & Data Integration will own the design and implementation of an integrated data solution across Amgens field data and reporting platforms. This role is critical to ensuring that our field business metrics are defined, calculated, and displayed consistently across all systems and tools, driving trust in our data and insights. The role will also be a key driver of implementing Amgens broader data and reporting strategy, designing and creating the capabilities needed to deliver scalable, consistent, and reliable insights to our commercial US field teams. Responsibilities Data Integration & Consistency Design and impleme...

What you will do In this vital role you will assist in designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. Design, develop, and implement of software applications and modules Take ownership of Development/configuration of user stories in collaboration with experienced engineers Create and maintain documentation on software design and configuration Develop simple prototypes and proof-of-concepts Contribute to both front-end and back-end development tasks using various Amgen preferred platforms/tools, with mentorship Work with the team to fix and resolve technical...

ABOUT THE ROLE Role Description: The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organizations security posture. Roles & Responsibilities: Develop analytics to address an organization's business or Engineering problems. Collaborate with Data Engineers to translate Machine Learning algorithms into effective solutions. Work in technical teams i...

Basic Qualifications Bachelors or Masters in Computer Science, Data Engineering, or related technical field. 35 years of experience in ML engineering, data engineering, or DevOps supporting ML pipelines. Proficiency in Python and SQL, with working knowledge of Databricks , MLflow , and AWS (S3, EC2, Lambda) . Experience supporting model deployment, monitoring, and packaging workflows. Ability to document work clearly and collaborate effectively with cross-functional teams. Preferred Qualifications Familiarity with vector stores, embedding pipelines, or RAG-style use cases. Experience developing or supporting Streamlit or Dash-based apps for data products. Working knowledge of Git-based workf...

What you will do In this vital role will assist in designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Youll work as part of a collaborative team and learn from experienced engineers. You will be part of a team specifically focusing on enterprise resource management capabilities. Amgen is using fully integrated and best-in...

As a Data Engineer at Amgen, you will be responsible for designing, building, and maintaining the company's data infrastructure and systems. You will collaborate with cross-functional teams to understand data requirements, develop data pipelines, implement data integration processes, and ensure data quality and integrity. Your expertise in data modeling, ETL processes, and database technologies will contribute to the effective management and utilization of data for insights and decision-making. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline ...

Role Description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL. Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles. Outcomes Collaborate closely with data analysts data scientists and other stakeholders to ensure data accessibility quality and security across various data sources.rnDesign develop and maintai...

Role Description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL. Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles. Outcomes Collaborate closely with data analysts data scientists and other stakeholders to ensure data accessibility quality and security across various data sources.rnDesign develop and maintai...

Job Description Position: GenAI DevOps Engineer About The Role As a GenAI DevOps Engineer on our AI Engineering team, you’ll be responsible for building, deploying, and maintaining the infrastructure and automation that powers our generative AI products. You’ll work closely with software engineers and data scientists to ensure scalable, secure, and reliable operations across cloud environments, with a strong focus on CI/CD, observability, and orchestration. Core Responsibilities CI/CD & Workflow Automation Design and maintain automated CI/CD pipelines for GenAI services using GitHub Actions, Azure DevOps, or Jenkins Implement DevOps best practices including code linting, testing, and validat...

Job Title: Data Engineer (Scala, Spark, Pyspark, Databricks) Remark - final round will be the F2F Experience: 10+ Years (Lead Role) Responsibilities Design, develop, and maintain robust and scalable data pipelines using Apache Spark and Scala on the Databricks platform. Implement ETL (Extract, Transform, Load) processes for various data sources, ensuring data quality, integrity, and efficiency. Optimize Spark applications for performance and cost-efficiency within the Databricks environment. Work with Delta Lake for building reliable data lakes and data warehouses, ensuring ACID transactions and data versioning. Collaborate with data scientists, analysts, and other engineering teams to under...

Technical Req: Shift -No 1. Understand the functional requirements and convert the same

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

Job Title: Data Engineer (Scala, Spark, Pyspark, Databricks) Remark - final round will be the F2F Experience: 10+ Years (Lead Role) Responsibilities Design, develop, and maintain robust and scalable data pipelines using Apache Spark and Scala on the Databricks platform. Implement ETL (Extract, Transform, Load) processes for various data sources, ensuring data quality, integrity, and efficiency. Optimize Spark applications for performance and cost-efficiency within the Databricks environment. Work with Delta Lake for building reliable data lakes and data warehouses, ensuring ACID transactions and data versioning. Collaborate with data scientists, analysts, and other engineering teams to under...

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adap...

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary The Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver...

Job Description At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we’re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracle's own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future! Responsibilities Career Level - IC3 Roles and Responsibilities Proficient in writing and optimising SQL queries for data extraction Translate client requirements to technical design th...

We are looking for a visionary yet hands-on AI Solution Architect who thrives at the intersection of technology, business, and innovation. This is a client-facing leadership role for someone who can conceptualize, design, and deliver robust AI-driven applications while staying ahead of the curve with emerging AI trends and technologies. You will be responsible for the entire lifecycle of AI solution development – from client discussions and requirements analysis to architecture design, algorithm selection, solution development, team guidance, and successful delivery. Job Location: Kochi/Trivandrum Key Responsibilities: • Client Engagement & Consulting Interact directly with clients and stake...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a ...

As a Data Scientist the candidate need to collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience. Exp : 2-4yrs Location : Gurgaon and Mumbai Skills : DS, AIML, Predictive, Regression, Python, Algorithm Qualification Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering or a related field. 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs. Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow. Knowledge of advanced prompt engineering techniques (Chain of Thought, Few-Shot, Se...

About the Open Position Years of exp : 10 - 15 yrs Location : Noida Join us as Cloud Engineer at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as Cloud Engineer you should have experience with: Cloud sourcing, networks, VMs, performance, scaling, availability, storage, se...

About Position: We are hiring MS Fabric Architect with hands on experience on Architect, MS Fabric, SQL, Azure, Python, Pyspark. Role: MS Fabric Architect Location: Pune, Bangalore Experience: 15 to 18 Years Job Type: Full Time Employment What You'll Do: Strong knowledge of Life Science domain, especially in CRO business is a plus. Excellent knowledge of languages like Python, SQL, Pyspark, Azure MS Fabric skills, Databricks is a plus. Proven record of working as delivery lead, engaging with customer architects/ business stakeholders and delivery personnel, owning smooth deliveries Should have worked as technical architect and delivered complex, critical, secure, available, and scalable proj...

Dear Candidates, We’re Hiring! 🚀 Job Title: Azure Data Engineer Experience: 2-8 Years Location: Bangalore, PAN India Employment Type: Full-Time Job Description: We are seeking a skilled and motivated Azure Data Engineer with 2-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in Databricks , Azure Data Services , and data engineering practices. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data workflows, and ensuring the integrity and availability of data for analytics and business intelligence. Key Responsibilities: 1) Design and Development: Design, develop, and deploy scalable data pi...

We are seeking an experienced Databricks Full Stack Data Engineer with 3-6 years of industry experience. The ideal candidate will have a proven track record of working on live projects. He/she will play a key role in developing and maintaining scalable data solutions using Databricks and related technologies. Key Responsibilities: ● Develop, and deploy end-to-end data pipelines and solutions on Databricks, integrating with various data sources and systems. ● Collaborate with cross-functional teams to understand data, and deliver effective BI solutions. ● Implement data ingestion, transformation, and processing workflows using Spark (PySpark/Scala), SQL, and Databricks notebooks. ● Develop an...