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Hands on working experience of data processing at scale with event driven systems, message queues (Kafka/ Flink/Spark Streaming) Hands-on experience on Data Ingestion using Apache Nifi, Apache Airflow, Sqoop, and Ozzie.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Hands on experience developing batch and streaming data pipelines.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop. Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra.
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Hands on experience with Java, Spring Boot, Cloud ( Azure/GCP/AWS ), Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc.
$90,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Engineer with hands-on experience using Databricks and a focus on Azure technologies. Join our team as a Senior Data Engineer and play a pivotal role in designing, implementing, and managing cutting-edge data solutions on the Microsoft Azure cloud platform.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
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Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks.
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Experience with NoSQL databases such as mongoDB, Cassandra or similar is a plusMinimum of 4 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, data lake and data warehouse solutionsMinimum of 4 years of hands-on experience in Big Data technologies such as, PySpark, Spark/SparkSQL, Dask or similar distributed compute frameworks.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Hands-on experience implementing Tag Based Access controls with Lake Formation, Databricks, Unity catalog and federation. Hands-on experience within AWS, especially with EMR, Glue, Step Functions, Lambdas, API gateway, EKS/ECS.
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Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark. Hands-on architecture/development of ETL pipelines using our internal framework written in Java.
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The Senior Data Engineer will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. TITLE: Senior Data Engineer. - Preferred: Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications.
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Other desired qualifications would include but are not limited to; windows server exposure, application monitoring, scheduling tools user provisioning, great analytical skill for troubleshooting, ETL development standards, SQL, RDBMS, SaaS, PaaS, and Cloud solutions, support of system maintenance and upgrade procedures, and hands on experience with IDMC (Informatica’s Intelligent Data Management Cloud Offering.
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Hands-on experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS). Minimum of 4 years of experience in data warehouse development and administration for on premise and cloud data warehouse solutions.
$102,809 - $133,652 a yearFull-timeExpandApply NowActive JobUpdated Today
hands on data jobs Title: senior data in Lahaina, Hawaii
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