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Experience in data architecture, data warehousing including non-relational and relational databases (e.g., SQL, MySQL, Hadoop, MongoDB), big data (Hadoop, MapReduce, Cloudera, HDFS, Hive, PIG, Impala.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by our mobile apps CityGuide and Swarm, as well as the world’s largest enterprises and most recognizable brands, like Amazon, Microsoft, Samsung, Spotify, Uber, Airbnb and others.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience with distributed message brokers using Kafka (required.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage). Experience with data governance(data plex), data security, and compliance best practices on GCP.
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Any level of experience with designing and developing solutions using big data technologies and languages such as PySpark, Hadoop, EMR, S3, Hive, Python, Kafka, Airflow. Any level of experience with designing and developing solutions using big data technologies and languages such as PySpark, Hadoop, EMR, S3, Hive, Python, Kafka, Airflow.
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Technical environment: SQL Databases and network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy - admin skills; Java-based applications environments; AWS and related open source and cloud technologies; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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Extensive experience working with RDBMS, Spark, Hadoop, Kafka. Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
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Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Strong understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc. Proven experience as a Data Site Reliability Engineer or a similar role, with a strong focus on data infrastructure management.
Full-timeExpandApply NowActive JobUpdated 7 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.
$200,000 - $250,000 a yearFull-timeWork from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Must have development experience implementing flows using Oracle, Hadoop, SQL, Kafka,. Understanding of MuleSoft Development best practices with respect to using fragments, templates, logging and error handling frameworks, common data-model design/ validation, property value encryption, considerations when using Object Store, scheduled jobs, duplicate data detection/handling.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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