... stakeholder management and architecture decision - making https://jobeax.com/link/Cexs453KRiH2S1rJ Skills :- Experience with data governance, metadata management and data quality frameworks.- Experience designing secure and governed enterprise AI solutions.- Exposure to AI/ML platform architecture and production AI workloads.- ...
... Strong experience with Python programming. Hands-on experience in NLP concepts such as: Experience in: HTML Parsing Experience with Apache Spark and Spark SQL. Working knowledge of Vector Databases. Experience building data pipelines and ETL workflows. Data Masking Data Classification & Categorization Embedding Generation ...
... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...
... classification, XGBoost, boosting/bagging techniques, Scikit-learn, StatsModels Strong problem-solving and live coding ability under time pressure SQL — mandatory for working across client data pipelines Minimum 2 years of full-time Data Science experience (internships do not count unless from a premium company) Experience at product ...
... using Amazon Web Services Develop and optimize data workflows using Python, PySpark, and Structured Query Language to deliver reliable performance Partner with data scientists, analysts, and stakeholders to gather data requirements and deliver effective technical solutions Apply data governance, quality, and security best ...
... Procure-to-Pay, Record-to-Report, and Plan-to-Produce - and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across ...
... application and data engineering initiatives and build end-to-end data solutions that are highly available, scalable, stable, secure, and cost-effective. You deliver data & reporting solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience ...
... way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and systems infrastructure includes autonomous AI agents handling routine or repeatable work and ...
... measurable data science objectives. - Present model results, insights, recommendations, and trade-offs to business stakeholders and leadership. Technology You'll Work With Our environment includes modern cloud, data, and machine learning technologies. You may work with: Data & Cloud Platforms - Snowflake - Databricks · AWS ...
... processing.- Design decoupled and interoperable data platforms using open-source technologies while minimizing vendor lock-in.- Establish standards for data pipelines, data modeling, CI/CD, coding practices and technical documentation.- Design and oversee data governance, security, auditability and data quality frameworks.- Drive ...
... Implement scalable solutions to process large volumes of data efficiently. Data Pipeline & Infrastructure Management Develop robust ETL pipelines to integrate data from multiple sources. Ensure data accuracy, quality, and availability for business users. Work closely with stakeholders to define data-driven solutions for ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... and real time data pipelines Build and maintain robust ETL ELT processes for ingesting transforming and loading data from multiple sources Develop and manage data lakes data warehouses and metadata frameworks Collaborate with cross functional teams to understand data requirements and deliver data solutions Ensure data quality ...
... stakeholders. Data Pipeline Design Operations: Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data transformation ...
... Responsibilities: 1. Update the relevant data from the credit reports received from clients into Google Sheets. 2. Accurately enter and maintain credit report data in the assigned Google Sheets. Skill(s) required Data entry MS-Excel MS-Word Earn certifications in these skills Who can apply Only those candidates can apply ...
... requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: Experience in supply chain Familiar with Agile