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Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C. and SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive.
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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Build big data processing pipelines using Spark and Airflow. Proficiency in one or more of the programming languages we use: Python, Java, or Clojure.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Programming: Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala.
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Must have experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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Experience with the Azure Services and Data components: Container based solutions, Microservices, Streaming Solutions, Python & Spark Compute, Spark SQL, Azure Integration services, and ingestion tools such as ADF, Snowflake, ADL, and GenAI Cognitive capabilities.
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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. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery. Experience running spark/hadoop workloads using Dataproc, Dataflow, Cloud composer, EMR, HD Insights or similar.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more. Big Data Technology Proficiency: Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more.
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The Director of Traditional Programming will report to the Chief Program Officer and is part of the Program Management Team. This role will manage a team of Regional Directors and will share responsibility for the successful implementation of the Communities In Schools of the Dallas Region (CISDR) integrated student support services model in all partner districts.
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
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This person will work as a part of the administrative team of the church and with adult volunteers to help plan, coordinate and provide leadership for, but not limited to, Sunday school, Vacation Bible School, Nursery Programming, Childrens Programming, Youth Programming, Adult and Senior Adult Programming, Christian Education events, Bible studies, new member services, Stephen Ministry, Womens Ministries, Safe Sanctuary, mission activities, and other duties as assigned by the pastor.
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In-depth expertise of database technologies, with a focus on the specified key technologies (MySQL, MariaDB, Galera, PostgreSQL,Experience with streaming data components (Kafka, Spark, Hadoop, Presto/Trino, Redis) is highly desirable.
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