... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...
... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...
... strong hands-on experience with AWS data services and distributed data processing, along with a solid understanding of data modelling, streaming architectures, data quality, and pipeline optimisation. Requirements KEY RESPONSIBILITIES Design, develop, and maintain end-to-end data pipelines for high-volume data ingestion, ...
... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...
... fintech and lending company that provides funding solutions to businesses across multiple industries in the United States and UK. Cashera combines technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist ...
... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...
... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
... Design, Performance Tuning.- Data Integration : Apache Kafka, AWS DMS, REST APIs, CDC.- Metadata & Governance : Apache Atlas (preferred), Metadata Management, Data Catalog, Business Glossary, Data Lineage, Data Stewardship, Data Quality.- Business Intelligence : Tableau, Semantic Layer, KPI Frameworks, Data Mart Design, ...
... healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... reporting, and metadata coverage.- Collaborate across business, IT, legal, and compliance teams for role https://jobeax.com/link/D9UR6EbHufGvIjFa Candidate :- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise.- 7+ years of experience in data governance and data management with at ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience using data science techniques to solve real-world problems across multiple business domains and communicate ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and processes data from multiple sources and serves analytics, data science, product, and ...