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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in SQL, and additional experience with data engineering tools and technologies (e.g., Apache Spark, AWS/GCP/Azure data services) is highly desirable. Proven experience (3 years) as a Business Intelligence Analyst or in a similar role with expertise in Microsoft Power BI.
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Oversee data transformation processes utilizing tools such as Alteryx, Talend, Databricks, SSIS, Informatica, SQL, Python, Spark, Scala, or R. Oversee data transformation processes utilizing tools such as Alteryx, Talend, Databricks, SSIS, Informatica, SQL, Python, Spark, Scala, or R.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years of applied experience Experience with database technologies - Oracle/MySQL, Cassandra Experience/Usage with these Languages - Java, Scala, Python, Shell Scripts Familiar with development tools such as Eclipse, Bitbucket, Sqldeveloper/Toad, JIRA, Jules, Jenkins, Hbase, Spark-shell, Hive, etc.
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Integrate Python, AWS services (such as S3 and EMR), Redshift, Snowflake, Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, and ETL processes into Spark applications. Strong proficiency in Apache Spark, including Spark SQL, Spark Streaming, and Spark MLlib.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Create and maintain optimal data pipeline architecture, including optimal extraction, transformation and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala, Java) and other Microsoft Azure or open-source tools as required Strong experience as an Azure Databricks experience would be an preferrable.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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.
$7 - $11ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience of big data technologies (e.g. Spark, Hadoop, Apache Kafka) frameworks such as Apache Spark, Dask etc.) As an experienced Machine Learning Engineer, you will work as part of the Storage team within Compute Network Storage(CNS), working with an inspiring and curious team of technologists dedicated to deploying and developing large-scale infrastructure solutions that support JPMorgan Chase & Co's diverse and critical businesses.
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Experience designing, building, or operationalizing large scale data applications using AWS services (Spark, EMR, RedShift, Kinesis, Firehose, Athena, Lambda, Glue) in combination with other platformsWorking experience and excellent understanding of AWS servicesExperience implementing role-based security/management, AD integration, IAM security policies, and auditing in a Linux/Hadoop/AWS environment.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Data services, data pipelines, data streaming, springboot, spring, quarkus, spark, flink, kafka, kinesis, docker, kubernetes. Experience in building streaming and batch data pipelines using Big Data technologies (Spark, Flink, Kinesis, Kafka, etc) on large scale unstructured data sets.
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Java/Python developer on Hadoop/Spark/Big Data platform with AWS experience preferably on EMR, EKS, Glue, Lake Formation. Java/Python Developer that's worked on a Hadoop/Spark/Big Data Platform that has AWS experience (Preferably on EMR, EKS, Glue, Lake formation.
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Experience with Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc. Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc.
ExpandApply NowActive JobUpdated 4 days ago
spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Plano, TX
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