14271 Hive Jobs - Page 3

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. BU & LOB Description: Marketing Campaigns are critical drivers of American Express strategy to acquire, engage and retain customers. Marketing teams across US need...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: With a focus on digitization, innovation, and analytics, the Enterprise Digital team creates central, scalable platforms and customer experie...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. With a focus on digitization, innovation, and analytics, the Enterprise Digital teams creates central, scalable platforms and customer experiences to help markets ...

Education : Bachelors or Masters in Computer Science or an equivalent area Skill-sets At least 5+ years of experience working in search infrastructure software engineering role. Proven leadership experience (e.g. as tech lead, lead architect or similar positions). Experience with Large, Distributed infrastructures. Especially the Hadoop stack and NoSQL Experience with Cassandra, Chef, AWS, and Jenkins a plus (not all are required). Ability to deal with large datasets and optimize query performance Solid understanding of the full web technology stack (e.g. from browser to data source). Solid understanding of computer science principles (OOP, Design patterns, algorithms, data structures etc.) ...

Identifying the Opportunities for Business growth Support business in meeting the Budgets through Analytical Insights Communicate results and ideas to key decision makers Key Accountabilities Regular Portfolio Health Check-ups through Business Insights Identifying areas of growth and areas of sluggishness within portfolio Drive insight led actionable to help achieve portfolio targets Support Stakeholders in Business Reviews Support key business initiatives for data driven decisioning Job Duties & responsibilities Structure, define and execute data analysis to uncover insights and inform decision making for digital bank. Collaborate with regional & local counterparts to define and align perfo...

Responsibilities This is an exciting role and would entail you to Perform comprehensive quality checks on medical writing deliverables (manuscripts, abstracts, HCP materials, regulatory documents, publication content) Review creative assets (emails, videos, images, HTML banners, and digital content) to ensure medical content is accurately and consistently represented Ensure compliance with client-specific style guides, medical writing standards, and regulatory requirements (ICH, GPP, FDA/EMA) Check for accuracy in medical terminology, grammar, spelling, referencing, and data consistency across both written and visual deliverables Verify alignment of content between text and creative assets (...

Analyze existing Hadoop, Pig, and Spark scripts from Dataproc and refactor them into Databricks-native PySpark. Implement data ingestion and transformation pipelines using Delta Lake best practices. Apply conversion rules and templates for automated code migration and testing. Conduct data validation between legacy and migrated environments (schema, count, and data-level checks). Collaborate on developing AI-driven tools for code conversion, dependency extraction, and error remediation. Ensure best practices for code versioning, error handling, and performance optimization. Participate in UAT, troubleshooting, and post-migration validation activities. Technical Skills Core: Python, PySpark, ...

Lead design and execution of Dataproc Databricks PySpark migration roadmap. Define modernization strategy , including data ingestion, transformation, orchestration, and governance. Architect scalable Delta Lake and Unity Catalog -based solutions. Manage and guide teams on code conversion, dependency mapping, and data validation. Collaborate with platform, infra, and DevOps teams to optimize compute costs and performance. Own the automation & GenAI acceleration layer , integrating code parsers, lineage tools, and validation utilities. Conduct performance benchmarking, cost optimization, and platform tuning (Photon, Auto-scaling, Delta Caching). Mentor senior and mid-level developers, ensuring...

About the Role We are seeking an experienced Big Data & Azure Engineer to join our data platform team. This role is critical to supporting and optimizing our enterprise-scale data infrastructure, managing migrations from on-premises Big Data systems to Azure cloud services, and ensuring seamless 24x7 production operations. The ideal candidate will combine strong technical expertise in both traditional Big Data technologies and modern cloud platforms with excellent problem-solving abilities. Required Skills and Qualifications Technical Expertise : Strong experience in Big Data technologies (Hive, Impala). Hands-on experience with Azure services : Network, VMs, Synapse, Databricks. Proficiency...

You bring extensive experience in DBT, including designing and developing technical architecture, data pipelines, and performance scaling. You have leveraged tools to integrate Talend data and ensure data quality in a big data environment. Your PL/SQL skills are very strong, particularly with queries, procedures, and JOIN operations. You have hands-on experience with Snowflake, including writing SQL queries, developing scripts in Unix and Python to perform extract, load, and transform (ELT) operations. Familiarity with Fivetran and hands-on experience with it is a plus. Candidates who have worked in production support environments are preferred. Your background includes direct experience wit...

Model Development Individual Contributor - Work independently with team lead(s) Hands-on programming and development Data Analysis Problem Solving - work toward getting the optimal solution of a given problem Tuning & Optimization Conduct risk based tuning of AML scenarios and maintain standards for BTL (Below the Line) ATL (Above the Line) alert testing Support ongoing optimization to the effectiveness of all in scope BAU transaction monitoring systems, scenarios and rules Model Testing & UAT Perform UAT and systems integraton testing of AML model for Significant experience and direct knowledge of AML Transaction Monitoring systems and preferably Oracle Mantas, Prime BSA and Actimize is a b...

The team works within the Americas App Solutions to design, deliver and support software solutions used by the Risk Management function globally. The team is responsible for several applications both internally developed and third-party products with a heavy focus on the internally developed .NET/ETL applications. There is a substantial pipeline of work, including market-wide initiatives, Security focused transformation and major cloud migrations . We are seeking an experienced ETL Developer to support and evolve our enterprise data integration workflows. The ideal candidate will have deep expertise in Informatica PowerCenter, excellent hands-on experience with Azure Data Factory and Databri...

Overview Join the Prodapt team in supporting a unified, scalable, and secure Jupyter-based environment for data science and machine learning. You will help build, maintain, and optimize the platform that empowers analysts, engineers, and scientists to explore data, develop models, and collaborate at scale. Responsibilities Develop, maintain, and enhance the Notebook platform built on JupyterLab, supporting both cloud and on-premises deployments. Integrate and optimize connections to diverse data sources (BigQuery, Hive, Teradata, Hadoop, Spark, etc.). Enable and support distributed data processing and analytics using Spark/PySpark and Dataproc. Implement and maintain platform features for co...

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning training and experimentation. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently explore, train, and validate ML models at scale. Responsibilities Overall experience of 10+ years with proven track recordof over-achieving engineering, platform delivery and scaling targets in highvolume, innovativeand fast-paced high-pressure environment; proven results in delivery on platform products. Solid proficiency in programming languages such as Python, Go and Java Experience with cloud platforms (e.g., GCP, AWS, Azure) and cont...

About the Role: We are seeking skilled Data Scientists with a strong foundation in Python and SQL to join our growing Data & Analytics team. You will work on end-to-end data-driven solutions — from data cleaning to model deployment — enabling key insights for strategic decisions. Key Responsibilities: Analyze large, complex datasets to extract meaningful business insights. Build and deploy machine learning and predictive models . Work on projects involving risk analytics, fraud detection, and data enrichment . Use Python and SQL for data processing, analysis, and automation. Collaborate with cross-functional teams to translate data findings into actionable business strategies. Skills Require...

Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partnerTeam Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues...

Key Responsibilities: Proficiency in Python, SQL, and distributed data technologies (Hive, Spark) 4+ years of industry experience, with experience in machine learning, data analysis, and business analysis Fluency in Python, R, SQL Experience in computer vision or natural language processing is a plus. Looker report as REQUIRED skill. Power BI is good to have. Experience in AB test experimentation. Working knowledge of Statistics Other: Ability to draw insights and present conclusions from data to inform model development and business decisions. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences. Deep understanding of Machine Learnin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing strea...

AI/ML Engineer Location: Bangalore EXP: 5 to 8Yrs Mandatory skills: Python, Pyspark, SQL, Traditional ML, MLOPS Job Summary: The primary purpose of this role is to design, build and maintain the data pipelines & ML ops systems, conducting experiments & performing statistical analysis, EDA & bringing insights aiding fine-tune models, training & retraining ML models as needed that enable the organization to process large volumes of data & also productionize, scale & manage AI/ML models. The main goal includes support to optimizing model training and inference. This role will harness AI/ML platform capabilities and help accelerate the development of Data & AI/ML driven products. Roles & Respons...

We’re seeking someone to join our team as ETL Developer who will be responsible for analyze the requirement and develop the Database procedure (MS SQL Server) to meet the business requirement, support existing application, and collaborates with business Analyst to understand the business requirement, perform the analysis and implement it. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a ETL Dev on the AI platform position at Associate level, which is part of data & analytics Engineering job family that provides specialist ...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data PlatformResponsibilities:Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFSExperienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platformExperience in developing streaming...

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank o...

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: * Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. * Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. * Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education ...

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for Senior...

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: * Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. * Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. * Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too. Required education ...