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Hands-on experience administrating Kafka platform (Confluent Kafka, Apache Kafka, Amazon MSK) via Ansible playbooks or other automation. 4+ years of combined experience with Kafka (Confluent Kafka, Apache Kafka, Amazon MSK.
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Preferred] Experience with high speed distributed computing frameworks AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. [Required] 3+ year of experience in building high speed, real-time and batch solutions[Required] Java 3+ years experience[Required] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc[Required] Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
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5+ years experience with Big Data Technologies such as Apache Spark, Kafka, Teradata, Oracle, informatica, Snowflake or Cloud Native Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
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Familiarity with data pipeline and workflow management tools: dbt, Apache Kafka, Snowflake data pipeline/streams. Skills: aws,snowflake,apache kafka,mysql. Familiarity with data pipeline and workflow management tools: dbt, Apache Kafka, Snowflake data pipeline/streams.
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Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Develops and maintain data pipelines, leveraging Apache Spark , AWS Glue and other data processing frameworks to support efficient data ingestion , transformation and storage. Experience working platform like Apache Spark, Apache Flink, Glue, Kafka.
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Data Processing and Analysis: Experience with data processing and analysis tools such as Apache Spark, Apache Flink, Pandas, NumPy. Knowledge of cloud-specific data services like AWS S3, Azure Data Lake, Google BigQuery, Snowflake, Azure Databricks.
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This infrastructure is comprised of Windows and Linux servers, MS SQL, IIS, Apache, Azure SaaS/PaaS, Microsoft 365, VMware virtualization, Active Directory, mobile devices (BYOD and corporate owned), HPE/Aruba, Meraki, VeloCloud and IoT medical devices.
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Required Skill Sets: Terraform, AWS Cloud transformation, Redshift, Airflow, DBT, CI/CD, Autosys and Control M, Github, Snowflake, AWS certification, SQL, Apache Airflow, Data Warehousing. Required Skill Sets: Terraform, AWS Cloud transformation, Redshift, Airflow, DBT, CI/CD, Autosys and Control M, Github, Snowflake, AWS certification, SQL, Apache Airflow, Data Warehousing.
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Extensive experience in the following technologies: Cloudera Platform: Airflow, Apache NiFi, Atlas, Hadoop HDFS, HBase, Hive, Hue, Apache Iceberg, Apache Impala, Ozone, Phoenix, Ranger, Spark, Zeppelin.
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Skills: Oracle Application Express (APEX), APEX Plugins, HTML, Visual Basic, Java, JSP, Java Script, Java Servlet, PL/SQL, CVS, Eclipse, Apache, WebLogic, IIS, Oracle, SQL Server, OBIEE/Oracle Analytics, Oracle Data Visualization, D3, MS Access, SQL, Agile Software Development, Software Development Life Cycle, SAP Crystal Reports (2016) or greater, Identity Management, WordML, Word, Excel, PowerPoint, OLE automation, LDAP, SFTF, FTP, JSON, XML, XSLT, Toad, ASPOSE For Java.
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Experience with cloud-based data warehouse environments (e.g., Google Cloud Platform, Snowflake, Redshift, and Azure) and ETL/ELT tools (e.g., Apache Beam, Mulesoft, and Fivetran) Experience with cloud-based data warehouse environments (e.g., Google Cloud Platform, Snowflake, Redshift, and Azure) and ETL/ELT tools (e.g., Apache Beam, Mulesoft, and Fivetran.
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CSS; Hibernate; HTML; JQuery; Selenium; Shell Scripting; SQL; Typescript; XML; Angular; Apache Tomcat; Bootstrap; REST; WebSphere; Maven; Swift; JSON; Kubernetes; Apache Zookeepter; AWS Cloud Services; Dynatrace; Hadoop; Hive; Splunk; Apache Subversion; GIT; Cucumber; Junit; Automated Testing; Blackbox Testing; Functional Testing; Manual Testing; Performance Testing; Regression Testing; Smoke Testing; System Integration Testing; Unit Testing; and User Acceptance Testing.
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Use WebSphere, JBoss, IBM HTTP Server, SOLR, WXS, Java, J2EE, WAS, Tomcat, Apache, Unix, Shell, Wrapper, Ansible, Python, Horizon, BitBucket, Git, Artifactory, Celestial, Docker, Splunk, Container, Jenkins, CI/CD, XL, JDBC, Tivoli Performance Viewer, Wily, Log Analyzer, Thread Analyzer, Heap Analyzer, Introscope, Dynatrace, AppDynamics, TrueSight, MQ. 40 hrs/wk.
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Web and application server technologies such as Apache, IIS, WebSphere, WebLogic, and JBoss Server/Server-side technologies such as Java Servlets, PHP, HTML, CSS, JavaScript, and Ajax Mobile application technologies such as iOS and Android Webkit.
$100 - $135Full-timeExpandApply NowActive JobUpdated 8 days ago
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