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Job Description The Senior Account Executive will prospect, identify, sell and maintain sales relationships within his/her assigned territory. This position requires interaction with other internal departments such as…
This is a remote position. Responsibilities: Design and implement secure, resilient, and scalable warehouse architecture that meets current and future needs of the organization Design, develop and modify relational and…
Remote Data Scientist focused on building machine learning models to detect financial crime risk and security threats, using big data frameworks, graph/NoSQL databases, and deep learning techniques.
Designs and maintains scalable data pipelines and architectures using Azure Fabric, Databricks, and Snowflake, collaborating with analysts and engineers to ensure efficient, secure data solutions.
Designs, builds, and maintains scalable data pipelines and platforms using Azure Fabric, Databricks, and Snowflake, collaborating with analysts and engineers to ensure reliable, secure, and efficient data solutions.
Data Engineer maintaining and developing a DataHub using Scala, Spark, Hadoop, and cloud technologies, responsible for data pipelines, CI/CD, and migrating Hadoop infrastructure to cloud/Kubernetes.
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
Day-to-day tasks include modeling/visualizing data, developing ML models, hypothesis testing, data collection, feature engineering (time series), model selection, A/B testing, and supporting IT/business solutions. Core technologies: Python, SQL.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
Azure Data Engineer role focusing on ETL processes using Azure DataFactory, Databricks, and Spark with Python/Scala, plus Oracle development and data warehouse/datalake projects.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Builds and maintains scalable data pipelines, transforms raw data into usable insights, and optimizes data workflows using Python, SQL, and big data tools like Spark/PySpark, with a focus on transitioning to Databricks.
Minfy is a Premier Cloud Partners (AWS, Azure) expanding our services in ASEAN countries, with our HQ in Hyderabad-India and KL-Malaysia being our Regional Hub for APAC since 2020 We are seeking a high-performing Sales…
Senior Software Engineer at Databricks in Belgrade designing and building distributed data systems for the Lakehouse platform, using Java/Scala/C++ and big data technologies like Apache Spark.
Builds and optimizes Databricks' distributed data and AI infrastructure platform in Belgrade, focusing on storage and query engines using Java, Scala, or C++ and big data systems like Apache Spark.
Builds and optimizes Databricks' distributed data and AI infrastructure platform, focusing on storage and query engines, while mentoring engineers and driving long-term technical vision.
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues…
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
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