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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. Spark programming and advanced at SQL (e.g., joins and aggregations) JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
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Utilize big data technologies such as Apache Spark. o ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow) Good experience in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
$80 an hourExpandApply NowActive JobUpdated 20 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. 7 years of experience implementing analytics data Solutions leveraging Azure Data Factory, Databricks, Logic Apps, ML Studio, Data Lake, Synapse, Informatica Power Center, and Oracle.
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. 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.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise with Python Language and Apache Spark. Strong hands on exposure to AWS Analytics services particularly 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.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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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Strong hands on exposure to AWS Analytics services particulary Lambda,Step functions,EMR, Athena, Glue, Data-Pipelines. Must have working experience with SQL, and databases (e.g.: Postgres, Redshift) implementing Data Models.
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Data Modeling skills. 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.
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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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Develop and implement data integration processes using Azure Data Factory. Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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.
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Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark. Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR.
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Experience with data ingestion tools like Apache Kafka or Apache NiFi. Proficiency in Hadoop ecosystem components such as HDFS, YARN, MapReduce, Hive, Spark, and HBase. Experience with cluster management tools like Apache Ambari or Cloudera Manager.
ExpandApply NowActive JobUpdated 4 months ago
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