As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...
... 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***
... strong eye for data quality and builds pipelines that are end-to-end reconcilable by design. Designs, develops, and maintains data pipelines, data models, and data platform services across the Bronze, Silver, and Gold layers. Writes clean, efficient, and well-documented transformation logic using dbt and Databricks Delta ...
Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...
... years of professional experience in Data Engineering or a closely related role. - Strong hands-on experience with Microsoft Azure data services and cloud-based data engineering. - Practical experience working with Microsoft Fabric and its data engineering capabilities. - Strong understanding of data ingestion, transformation, ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...
... Business Intelligence team builds on top of a data platform that has to be there every morning - healthy, current, and trusted. Making that happen takes a core data engineer who owns the operational reliability of our platform end-to-end. This is a core data engineering role. You own the operational health of our data platform, ...
... Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. In this role, you will work closely with leaders across the company, within engineering, ...
... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...
... understanding of ITIL framework — Incident, Request, Problem, and Change Management processes. Strong analytical skills with the ability to interpret SLA/KPI data and drive improvement actions. Excellent communication and stakeholder management skills. Ability to work under pressure, multitask, and manage high-volume ticket ...
... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...
... for an experienced Lead Data Scientist / Technical Lead to lead a pod of Data Scientists and drive the end-to-end development and deployment of accelerator-led Data Science and AI solutions for enterprise https://jobeax.com/link/DNEKcQG1q3IBOBjj is a deeply technical role involving hands-on Data Science, technical leadership, ...
... operational standards. Manage backup, restore, and maintenance strategies to ensure data protection and availability. Cloud Database Deployments Deploy and manage database environments within Google Cloud Platform. Provision database servers using Compute Engine virtual machines or managed services such as Cloud SQL where appropriate. ...
... with significant exposure to eCommerce, digital marketing, loyalty programs, or omnichannel retail. - Expert SQL skills and significant experience with large datasets in Snowflake, Databricks, or similar platforms. - Strong proficiency in Python (pandas, scikit-learn, stats models) for modeling, feature engineering, and ...
We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you'll work across the entire data science lifecycle from exploratory analysis and statistical modelling to deploying ...
... Python. Experience in Configuration changes and Upgrades. Collaborate with application/migration teams with database activities. Should have knowledge of on how data get processed and consumed in Data Platform and how to automate the completed process. Provides migration of database elements and online application components ...
... automation.- Experience with Amazon Redshift for data warehousing, query optimization, and performance tuning.- Strong knowledge of Amazon DynamoDB and NoSQL database design.- Experience in building scalable ETL/ELT pipelines.- Good understanding of AWS services, cloud-native architecture, and serverless computing.- Knowledge ...
... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...
... (Retrieval-Augmented Generation) techniques Evaluate LLM performance using appropriate metrics Google Cloud Platform (GCP) Build and deploy solutions using GCP services , including: BigQuery, Cloud Storage Vertex AI (AutoML, custom training, model deployment) Dataflow, Dataproc Cloud Functions / Cloud Run Use GCP for scalable, ...