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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with Apache Kafka, Spark Experience in using Databricks for big data analytics and processing. Experience needed in AWS Services, Apache Airflow. As Lead Cloud Data Engineer at JPMorgan Chase within Employee Experience Employee Core Data Platform(Palmos) Group, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
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Utilize big data technologies such as Apache Spark. Our direct client is seeking a Azure Data engineer for a long-term consulting engagement. o ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow.
$80 an hourExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Extensive experience with ETL tools (e.g., Apache Airflow, Talend, Informatica). In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery). The Data Engineering Manager will oversee the design, development, and maintenance of our data lake, as well as manage our BIE team.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Create and maintain highly scalable data pipelines across Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala. The Senior Data Engineer is part of a Corporate Analytics team responsible for supporting data and analytics solutions for MMC Corporate Functions.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks) Role: Software Engineer - Big Data Engineer. As a Software Engineer within the Corporate Investment Banking Treasury Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise with Python Language and Apache Spark. Role: Data Engineer. Strong hands on exposure to AWS Analytics services particularly Lambda, Step functions, EMR, Athena, Glue, Data-Pipelines.
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Hands on Experience working with AWS services including Glue, S3, EKS, Data Pipeline, Step functions and establishing connectivity to AWS services like RDS from Informatica, data stage, Apache Spark.
$168,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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AWS Data Engineer. Strong hands on exposure to AWS Analytics services particulary Lambda,Step functions,EMR, Athena, Glue, Data-Pipelines. Developer will be developing data ingestion pipelines from heterogenous sources like databases, Files, APIs, Kafka streaming etc using a variety of services.
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Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development. Data Modeling skills.
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Knowledge of Open Source Orchestration tools like Apache Airflow. Open Source Orchestration tools like Apache Airflow. experience with AWS Data services like S3, Glue, Athena, Lambda, SNS, SQS, RDS, and Redshift.
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ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse). Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Job Title - Azure Data Engineer. Develop and implement data integration processes using Azure Data Factory. Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
Full-timeExpandApply NowActive JobUpdated 12 days ago
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