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Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Must have 4 years experience with Apache Kafka, Presto, and/or NoSQL datastores. Prefer knowledge in Apache Hadoop, BigQuery, and/or BigTable. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, Canva, Bloomberg, Walmart, AWS, and Philips are using AI technology to deliver multilingual, digital customer experiences at scale.
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Proficiency in using data profiling tools like IBM InfoSphere Information Analyzer, Talend Data Quality, Informatica Data Quality, or open-source tools like Apache Profiler. Implementing data integration concepts with tools like Apache NiFi, Talend, or Informatica PowerCenter for ETL processes, data movement, and integration.
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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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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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And/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow.
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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 world’s toughest problems. Promote Databricks' enterprise cloud data platform powered by Apache Spark.
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From an Advertising perspective, Identity graph will be used to identify (and map all the identities) and activate marketing activities on different platforms (display, social, email, platforms, etc), reporting and take attribution across website engagement (Websights) activities, to CRM conversion(closed /won deals) What you'll do : Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
$180,000 - $247,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience designing and implementing distributed systems using frameworks such as Apache Kafka, Apache Spark, or similar. Knowledge of simulation software and familiarity with industry-standard tools such as ANSYS, COMSOL, or similar.
$150,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience automating with scripting languages such as Bash, Python, Groovy and any deployment scripting languagesStrong experience with CI/CD deployment supporting Java technologies (Jenkins, Nexus, Apache, JBoss, Tomcat, Perforce/Git )Highly Proficient in Configuration Management (Ansible, Chef or Similar)Hands-on experience with Containerization, Docker & Kubernetes is required.
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Competence in Automation Tools such as Selenium and Apache AirFlow. Competence in Automation Tools such as Selenium and Apache AirFlow. Develop detailed test strategies, test scenarios, and test cases for validating data warehouse migration to Snowflake.
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apache job in Waltham, MA
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