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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc) Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption.
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Experience working with big data tools: Hadoop, Spark, Kafka, etc. Relevant working experience with Docker and Kubernetes is a big plus Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements.
$65 - $70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NoSQL DBs, Elastic Search, Kafka, Docker, Spark, Storm, and Hadoop is preferred. Could have experience in Cloud Computing, Big Data technologies such as Cassandra or other.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of big data technology (Hadoop, Spark, Kafka), as well as cloud services (AWS preferred, Azure, GCP) in a storage/processing capacity. Design and implement scalable, reliable data pipelines using technologies like Apache Spark, Hadoop, and Kafka.
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Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
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This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Performance Tuning of Big data Hadoop Platforms ( Cloudera , Horton work ). Data Strategy, Data Governance, Data Architecture, Data Integration, Data Quality, Data Cataloging, Data Security, Data Operations.
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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