BIU:Data Science Lead-Personalization COE INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader Team Size: 8-10 Grade: Business: BIU Department: BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Banks (Business Intelligence Unit): This is a high profile team with a mandate to drive data based ...
... managing critical data activities, performing data analysis and cleansing, and supporting key users worldwide. You’ll specifically take care of maintaining master data governance and compliance with core business rules, but also lead process improvements, implement automation, and support new tool rollouts. We’ll look to you ...
... efficiency, cost modeling, capacity planning, and quality enhancements. Develop a deep understanding of systems and processes to extract insights from existing data while identifying and recommending IT enhancements to improve data quality. Develop strong partnerships with IT application owners and data management teams to ...
... participate in the development of the data use cases and the definition of the software architecture of his use cases. carry out production monitoring (when needed) process business line requests (data pipelines creation/evolution/issues/...) provide quality user support to the business lines. followtechnicalroadmap required by ...
... fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why - Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process to fix it - Evaluate and manage third-party data and enrichment ...
... Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment. Principal Accountabilities Design develop and optimize ETLELT data pipelines using Azure Data Factory ADF to ensure efficient data flow and processingbr Collaborate with crossfunctional teams to understand data requirements and ...
... external data and processes to answer specific business questions and identify opportunities for improvement - Build processes supporting data transformation, data structures, metadata, dependency, and workload management - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores ...
... Preparation Product Area, focused on building the next generation of finance data and processing services The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. ...
... observability for data systems. - Knowledge of data governance, metadata/catalogue tools, lineage and data quality frameworks (i.e. Strong grasp of security, data privacy and regulatory requirements (e.g., GDPR, data residency). - Professional certification such as Databricks or AWS (Solutions Architect / Specialty). Consulting ...
... SQL and batch processing). - Strong SQL expertise — ability to write efficient, optimized, and complex SQL queries for large datasets. - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, ...
Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...
... frameworks and cloud ML frameworks including AWS. Experience in natural language processing, computer vision, or deep learning. Certifications or courses in data science, analytics, or related fields. Should exhibit diligence and meticulousness in working with data 7+ years of Software Development experience - 4+ years ...
... work experience. - Experience in building scalable products with preferably big data. - Excellent Python coding skills (Mandatory) - Experience in Apache spark, Data Lake and other Big data technologies. - Experience in either Data Warehouses or Relational Database is mandatory. - Experience in AWS cloud Mandatory Skills : ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
... Events, Campaign Shoots, Ecommerce Shoots, Collaborative Shoots. Onboarding wedding planners and commercial stylists as brand affiliates. Maintaining the marketing database on a day to day basis. Conceptualizing and onboarding brands for collaborations. Maintaining marketing inventory. Content creation for social media. Reporting ...
... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... use cases. - Ensure best practices to implement data governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. ...