... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...
... decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support ...
... big data and analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models Define templates and processes for the design and analysis of data models, data flows, and integration Lead and mentor Data Analytics team members in best ...
... our data. We help our business colleagues all over the world with machine learning algorithms, predictive models and visualizations. We manage more than 46 AI & Big Data Applications, 3.000 active users, 87 countries and up to 100,000,000 daily transaction. Integration of AI & Big Data into business processes to compete in ...
... queries for large-scale and big data environments. Proficiency with BI and visualization platforms including Tableau, Power BI, QlikView. Hands-on experience with Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, and big data technology stacks. Experience working with cloud platforms such as AWS and Azure. Programming ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...
... organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit.- Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.- Experience with ...
... a related field, preferably from a premier institution (NIT or IIT).Cloud Infrastructure:- Familiarity with major cloud environments (AWS, GCP, or Azure).Big Data Technologies:- Exposure to distributed computing frameworks like Apache Spark, streaming platforms like Kafka, or cloud data warehouses (e.g., Snowflake, BigQuery, ...
... experience in Application development and support, integration development and data management. Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment Analytical and data driven ...
... 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 ...
Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & https://jobeax.com/link/QVLhmNzaEhBG8ZTE are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business https://jobeax.com/link/or26omectpEQm8Bt ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... unstructured sources into cloud data platforms. - Create responsive and high-performance user interfaces using https://jobeax.com/link/6WcBICn0LM558SP0 , enabling rich data visualizations and seamless user interactions. - Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data ...
... years + in delivery type role Familiarity with functional programming concepts. Experience with the Scala programming language. Experience with Apache Spark for big data processing. Familiarity with data processing and ETL (Extract, Transform, Load) concepts. Experience working with relational and/or NoSQL databases Experience ...
... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...
... if not Hadoop), Expert in at least one scheduling/orchestration tools ( Airflow, alternatively AWS Step Functions or similar) Expert with relational and NoSQL databases. Expert in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar) Proficiency ...
... https://jobeax.com/link/FfDHiV3kuJ7mhqWK Architecture & Advisory : - Own end-to-end Snowflake architecture for enterprise-scale programs.- Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).- Design solutions across data ingestion, transformation, orchestration, modelling, and consumption ...