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Install, configure and manage enterprise data integration platforms including Data Stage, Talend, Ab initio, Informatica and AWS Glue in AWS cloud environments and in on-premises infrastructure.
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Data Integration Engineer with hands-on experience in designing and implementing data warehouses and data marts for large financial institutions. Developing and maintaining complex ETL mappings, workflows and Unix shell scripts in a normalized/denormalized data warehouse/data mart environment based on technical specifications and other supporting documentation, utilizing Informatica PowerCenter, Unix Shell Scripts, advanced SQL, Python, AWS services and Autosys Enterprise Scheduler, Performing Unit Test, System Integration Testing, User Acceptance Testing, Disaster Recovery and regression testing activities.
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Hands-on experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Snowflake, Teradata) SiriusXM is seeking a highly motivated and experienced Staff Data Engineer to join our Data Org. In this role, you will be responsible for designing and developing data processing pipelines, data warehousing solutions, and real-time data ingestion systems.
$137,500 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Spark & Scala, Python etc. Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
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Hands-on experience in pipeline orchestration tools, like Apache Airflow. Strong hands-on experience with programming in Python. 5+ years of relevant professional experience in building AWS big data pipelines using Apache Spark.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A bachelor's degree or higher and five years of relevant experience working in a professional, hands on, data science or data engineering setting are required. Hands on experience developing and optimizing ETL data pipelines and data models to handle large datasets.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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4+ years of experience migrating/developing data solutions in the AWS cloud is required. Hands-on object-oriented programming experience using Python is required. 2+ years of experience building/implementing data pipelines using Databricks or similar cloud database.
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Experience with classical NLP algorithms and transformer-based models Hands-on experience with LLMs and Huggingface ecosystem Experience with cloud platforms (e.g., AWS, Azure) Strong shell scripting skills Powered by JazzHR.
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Extensive hands-on experience with Snowflake or similar cloud-based data warehousing platforms. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer.
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You want to work in a fast, high-growth startup environment that respects its engineers and customersYou can design simple and performant architecture to solve problems at high scaleBonus Point: You have hands-on engineering experience with at least one of the major cloud providers – AWS, Azure, GCPDatadog values people from all walks of life.
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
$100Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Prefers some hands on experience with AWS Cloud tools & services and some tools and/or experience supporting an enterprise data platform. Role: Data Platform Engineer (AWS Cloud services.
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This is a very hands-on position, requiring extensive experience developing workflows in Python, willingness to dive into legacy code repositories and maintaining complex data transformation processes on AWS cloud.
$75,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Put simply - We need a hands on Data Engineer that is really good with. Cloud Engineer and Snowflake data lake), Snowflake, SQL, Python and PowerBI will.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data Migration Engineer having an experience migrating data from on prem to AWS cloud. Hands on experience on AWS Cloud platform especially S3, lamda, Step Functions, EC2, EMR.
ExpandApply NowActive JobUpdated 11 days ago
hands on aws cloud jobs Title: data engineer in New York, NY
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