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Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML a
Excels in fast-paced and evolving environments, especially when bridging business needs and technical realities across complex data ecosystems. Lead the development and optimization of enterprise-grade Power BI solutions, including semantic data models, DAX calculations, and scalable dashboards alig
Can do solutioning on the tools like MS Power BI, AWS QuickSight, Tableau. Can think of the possible best layout of dashboards and reports.
Desired Qualifications: Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas. Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (H
Databricks certified profiles only --- Must have skills on Big data platforms -- Hands-on experience with Spark (scala or python), Kafka streaming, familiarity with Databricks/Deltalake is a plus. Skills on Big data platforms -- Hands-on experience with Spark (scala or python), Kafka streaming, fami
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientist / Data Analyst / Data Science Specialist for Ad
You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. You will design and ship predictive models and data products, improve the quality a
Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing
This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Proficiency in in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm. Experience with batch pipelines supporting Machine Learning workloads.