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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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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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Provisioning and managing Databricks cluster and Knowledge of HDInsight, Azure Functions and Azure DevOps is a big plus. � In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Strong understanding of database and big data software technologies, specifically Snowflake and Databricks. Significant experience in software engineering and data engineering roles, with a focus on snowflake and Databricks.
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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. We’re looking to expand our Big Data Engineering team to keep pace.
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This is a support role for the Data Architect who is the technology leader and who will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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In this position, the AI/ML Big Data Architect will play a critical role in assisting researchers by designing and implementing robust data architectures, optimizing AI/ML data workflows on large-scale systems, implementing best practices for data integrity and scalability, building and maintaining the distributed AI/ML data infrastructure, and ensuring seamless integration of cutting-edge data storage and retrieval techniques with research initiatives.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Skill: Big Data Architect. Proficiency in Python for advanced data analysis, scripting, automation, and integration with Big Data platforms and ecosystems.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. · Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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Senior Big Data Engineer - Homes.com. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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Familiarity with additional big data tools and platforms such as ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc. 3+ years of hands-on experience in big data development using technologies such as Spark, Flink, Singlestore, Kafka, Nifi, and AWS big data services.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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big data jobs Title: data specialist Company: Diverse Lynx
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