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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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X; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Databricks experience is a nice to have. 2+ years of experience in some of the Big Data technologies: Hadoop (HDFS, Hive, Impala) or Kafka or Spark. Hadoop, HDFS, Kafka, Spark, Datalake.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2. Hadoop Admin With Confluent Kafka. Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, DeltaLakewith Spark SQL, Delta Live Tables, Unity Catalog. 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka,Sqoop, Hive, S3, HDFS, or.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Title: Kafka/Hadoop Admin (L3- Support Engineer) Product SME for Confluent Kafka, Apache Spark, Talend. Working knowledge of Apache Spark and Talend would be a plus. Subject Matter Expert as an Application or Solutions architect in Apache Kafka and Apache Spark.
$83,912 - $128,080 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with Spectrum Conductor or Databricks with Apache Spark. Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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4+ years of experience with Big Data technologies including Databricks, Hadoop, and varying types of Azure Storage. 4+ years of experience with Big Data technologies including Databricks, Hadoop, and varying types of Azure Storage.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with Azure cloud services or similar cloud platforms: Databricks, Azure HD Insights, ADF or similar. Experience with big data tools: Hadoop, Hive, Spark, Kafka etc. Experience with Azure cloud services or similar cloud platforms: Databricks, Azure HD Insights, ADF or similar.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services. Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of tools like Composer, Spark, Kafka, BigQuery, Dataform, Azure Data Fabric, Databricks, Snowflake. Expertise in Open source Data Technologies in processing, storage, data quality - Cloudera Hadoop, Presto HUDI, Iceberg, Delta Lake, Apache Flink, GreatExpectations, Airflow, Kubernetes, Kafka.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. Knowledge of Databricks is an added advantage. Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Must have 6 months of experience in any two of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark, Kafka, Dremio, AWS, Azure Platform, Google Cloud Platform, Cloudera, Hortonworks, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Snowflake, Redshift, EMR, Neo4j.
Full-timeExpandApply NowActive JobUpdated 12 days ago
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