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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
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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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The Opportunity As part of the Data Solutions Support team, this Senior Analyst will be responsible to leverage Snowflake, AWS and Cloudera Hadoop systems to build best-in-class Data Management and Analytical pipelines for Ally's Auto Asset Management team.
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You have experience or a good understanding of:- Hadoop-based technologies like MapReduce, Spark, Hive, Presto and Pig- SQL-based technologies like Oracle, PostgreSQL and MySQL- NoSQL technologies like Cassandra and MongoDB- data warehousing solutions and relational database theory- industry-standard software APIs. You have good verbal and written communication skills and can translate technical subject matter to non-technical audiences.
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Hadoop/Big Data/Databricks Certifications. The position involves leveraging software engineering principles to automate data infrastructure operations, managing Azure Data Infrastructure and Services, and administering the Snowflake data platform with a focus on security and efficiency.
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Experience with relational and non-relational datastores (Hadoop, SQL, Mongo DB), ETL or ELT tools (SSIS, Informatica, Matillion, DBT), DevOps, Data Lake and DataFabric concepts. Experience in Hadoop Migration to Databricks.
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Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Vantage is looking for a software engineer to be the foundation to our data platform efforts. Work closely with our software engineers to understand data processing needs and propose the right solutions for them.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Our global teams work together, iterate constantly, and solve complex problems to help our 15,000+ customers deliver beautiful customer experiences powered by happy teams and healthy software.
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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BS degree in one of the following preferred: Data Science, Computer Science, Software Engineering, Software Development, Programming & Software Development, Computer Science, Computer Systems Engineering or Industrial.
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hadoop job Title: principal software engineer Company: Panalgo
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