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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies and frameworks, such as Hadoop, Hive Spark, Kafka, and NoSQL databases. Proficiency in data analysis techniques and tools, such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka, Presto, Apache Beam, DBT. Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka, Presto, Apache Beam, DBT.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. Knowledge of web frameworks to build web applications (R Shiny, Dash.
$125,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
Work from homeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto. Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with big data tools (i.e. Hadoop, Spark, Kafka, etc.) Work with the Agile Program Manager (APM), Business Owner, and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with large-scale analytics and data warehouse systems such as Databricks, Amazon Redshift, Amazon EMR, and/or Hadoop. + Experience with message queueing and event streaming solutions such as SNS, SQS, RabbitMQ, and/or Apache Kafka.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3-6years experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, sqoop, Impala , spark, flume, kafka and oozie. Data Integration, Data Security on Hadoop ecosystem.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Spark, and agile development practices.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, or HDFS ar a plus. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Spark streaming, Kafka, Apache Storm, Flink NoSQL. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora.
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