... designing, deploying, and managing data models on cloud-based infrastructure, preferably for data platforms. Minimum of 10 years of experience in enterprise data architecture, data management and data governance, or a related field. Strong knowledge of database design, data modeling, and ETL processes. Experience in designing ...
... support Oracle-to-Apache Cassandra data migration activities, ensuring data integrity, consistency, and minimal disruption to business services. Own the Cassandra data-layer architecture and design supporting high-volume, real-time payment transaction processing. Take end-to-end responsibility for keyspace design, data modelling, ...
Data Pipeline Development: Designing and building scalable, efficient, and reliable data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data lakes or data warehouses. - Provide leadership on the migration from Hadoop to Azure and on how we leverage data in multiple ...
... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***
... Department: Engineering Model Data & Experience As a Senior Data Analyst, you will play a key role in the EMT initiatives, helping transform how engineering data is interpreted and used across the entire value chain. You will work on analyzing trends, clarifying data definitions, identifying inconsistencies, and ensuring ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills:SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization ...
We are currently seeking a Lead Data Analyst , reporting directly to BI & Data Analytics Manager to join the team based in Noida. The Lead Data Analyst will work closely with the business and has a dynamic role that bridges technical data analysis with strategic business insights. The Lead Data Analyst should possess quick ...
8+ years of experience in Teradata, Python, and Julia. Strong experience in data engineering and data analytics. Good knowledge of Provider domain. Experience working with Teradata databases. Strong Python skills for data processing and automation. Experience using Julia for analytics and modeling. Knowledge of building ...
... with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. The Data Analyst is responsible for receiving, vetting, and fulfilling data and reporting requests from clients and internal teams. This role ensures the accuracy, confidentiality, and usability of data delivered to stakeholders and supports ...
... not a backend analytics role — this is a core product + innovation role . Key Responsibilities 1. Data Strategy & Architecture Design and implement end-to-end data systems for healthcare and wellness products Identify key data points across user behavior, health patterns, and outcomes Build scalable data pipelines and infrastructure ...
... success. With a vision of being the most trusted, flexible, and easy-to-use data platform, our product portfolio includes the most performant data management, data integration, and data analytics products on the market. Customers use our cloud-native data platform to unify their data, explore and securely exchange data to ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...