... https://jobeax.com/link/qrYLzgxlZF8SCZx8 Technical Expertise :- Strong expertise in Databricks and modern data engineering architecture.- Hands - on experience with Microsoft Fabric and modern analytics platforms.- Strong understanding of Data Lakes, Lakehouse and Data Warehouse architectures.- Expertise in PySpark and scalable distributed data processing.- ...
... SQL. Develop and manage Vector Database pipelines for embedding storage and retrieval. Implement text normalization, sentence segmentation, deduplication, and data quality processes. Design and implement data masking, classification, and categorization solutions. Collaborate with AI/ML engineers to prepare datasets for model ...
... 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 ...
... learning. - Distributed Computing: Experience with Spark or other distributed computing frameworks. - AutoML Tools: Understanding of tools like AWS Sagemaker, Databricks AutoML and IBM AutoAI. - Telematics Data Analytics: Experience in time-series/IoT data analytics, including data streaming from vehicle on-board IoT devices. ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...
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 ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... codebases, or team projects. Join SAP SuccessFactors at a pivotal point in the evolution of enterprise AI, where we are moving beyond traditional applications and analytics toward intelligent, autonomous agents that can understand HCM context, reason over trusted business data, and help customers make better workforce decisions. ...
... change, applying first-principles problem solving, and using data to learn and adapt along the 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 ...
Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...
Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources ...
... unstructured data for downstream analytics.- Develop and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate ...
... working on platforms in past like CDP, Marketing automation, Google Analytics etc. - Experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage and analysis. - Hands-on experience with data quality tools (e.g., Talend, Informatica Data Quality, Trifacta, Data Flux, ice DQ). - Hands-on experience ...
... Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).- Proven expertise in deploying ML models into production systems.- Experience with big data platforms (Hadoop, Spark) and distributed data processing.- Hands-on experience with Databricks, Airflow, and AWS EMR.- Strong knowledge of AWS cloud services ...
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 ...
... clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance ...
... Detection technologies powered by a proprietary Biometric Engine. We are seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate ...
... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with ...