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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Good experience and understanding of operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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With modern data tools and architectures such as (Snowflake, databricks, Big Query, Redshift, etc.) Corporate Strategy - Data Scientist - Business Analytics. The Data Scientist provides analytical support to our business partners.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) Were looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Divisions (OHD) big data and analytics platform.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. As a Senior Data Scientist, you will be a Technical lead on Data science projects/Products and take ownership of implementation and delivery responsibilities.
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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. The Data Scientist is a key role in the transformation of business.
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Senior Data Scientist. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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big data jobs Title: data scientist Company: Brainstation
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