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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Fargate.
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Knowledge of Databricks and Spark for big data processing and analytics. Your expertise in Azure Cloud, PowerBI, ESRI, DevSecOps, Python scripting, ETL, SQL, and other related technologies will be critical in developing robust, scalable, and secure architectures.
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You have designed and deployed solutions to production in demanding environments using things like Python, SQL, Spark, Kubernetes, or Databricks within an AWS or Azure Cloud environment. Languages: Python, Spark, R, SQL.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Experience with Big Data technologies like Apache Hadoop, HBase, Spark, Hive, Snowflake. This role is in Lake Mary, FL, via Hybrid work arrangement (thrice a week to the office)About the CCE team:We provide platform for our clients to manage securities in tri-party and collateral management arrangements, collateralize exposure arising out of tri-party repos, securities lending, and margining for uncleared derivatives.
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Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt. Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt.
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Responsibilities:Work as part of a team to develop Cloud Data and Analytics solutionsParticipate in development of cloud data warehouses, data as a service, business intelligence solutionsAbility to provide solutions that are forward-thinking in data and analytics'Deliver a quality product, Coding complex U-SQL, Spark (Scala or Python), T-SQLDeveloping Modern Data Warehouse solutions using zure Stack ( zure Data Lake, zure Data Factory, zure Databricks.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases. Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS.
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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems. In-depth knowledge of and the ability to perform advanced troubleshooting on macOS, Chrome OS, Windows 10, and SaaS applications (Okta, Google Workspaces, Slack, Zoom, O365.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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spark job Title: assistant Company: Boys And Girls Club Of Bluffton
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