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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Strong hands-on experience in Databricks. Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar.
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Should have certified in Spark from Cloudera or Databricks or Hortonworks. Databricks Certified Associate in Spark 2.4 or 2. Should have certified in Spark from Cloudera or Databricks or Hortonworks.
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Databricks, Data Lakehouse architecture, modern data pipelines experience a plus. Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Expertise with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.) Expertise with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.
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Secondary Skills - Azure HDInsight, Databricks, Storage, accounts, Storage explorer, Key vaults. The Databricks Administrator must be self-motivated and apply knowledge of Azure to drive solutions, support the development team, and create documentation to support and describe technical solutions.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
$65 - $70ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in using Databricks for data engineering and analytics tasks. Additionally, experience with DBC or metadata tables, Azure cloud, and Databricks will be valuable for this role.
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Experience with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.) Experience with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Experience in ORDS and Golden Gate MicroservicesExperience in Cloud Engineering including Azure or AWS or Oracle Experience in IaaS, PaaS, SaaS services, DaaS, and IaaS. Design/provision and manage Azure IaaS and PaaS services like Oracle, Postgress, Azure SQL server, Snowflake, Databricks.
$115,600 - $231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.
$110,000 - $130,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with large datasets, pipelines, modern warehouse technologies(Snowflake), and data processing, analytical capabilities(Databricks)at real-time and batch. Experience working with large datasets, pipelines, modern warehouse technologies(Snowflake), and data processing, analytical capabilities(Databricks)at real-time and batch.
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Experience with cloud based ETL technologies like Databricks and data factory. Experience with cloud based ETL technologies like Databricks and data factory. Lead Engineer, IT – Data Engineering role will act as a Tech lead for supporting solution design and implementation across three product teams serving key business areas of Operations, Finance and Supply Chain.
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databricks job Company: 3ktechnologies in Irving, TX
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