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Knowledge in Apache Spark, and/or Databricks. You will help lead multiple agile sprints to support the execution of data management, data cataloging, and ETL/Data Conversion activities leading into building of a modernized Data Fabric and Platform that supports and feeds business benefits including automation, AI/ML, analytics, and data visualization efforts.
$123,000 - $231,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Net, API Management, ETL tools (e.g. Informatica, Azure Data Framework, Databricks), Spark (Scala/Python), CSS, HTML5, AngularJS, Maven, Java Spring, designing and implementation of SQL and NoSQL databases.
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The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
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Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design, build, and maintain robust data pipelines and ETL processes in Azure, leveraging tools such as Databricks, Azure Data Factory, and Azure Synapse Analytics. Knowledge of big data technologies such as Apache Spark and Hadoop.
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Looking for a Data Engineer who possesses the following skills: data warehouse design and development, Spark ETL/ELT development, Airflow DAG development, and data mapping and analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions.
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Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) page is loaded Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Apply locations McLean, VA New York, NY time type Full time posted on Posted 2 Days Ago job requisition id R184311 Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Do you love building and pioneering in the technology space.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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2+ years of experience using Azure Databricks to build scalable ETL pipelines. Interest in developing streaming data pipelines using resources such as Azure Event Hubs, Spark-Streaming, Kafka, or Flink Streams.
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Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL concepts. Expertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etc.
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Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science, Engineering, IT, Management Information Systems, or a related discipline Experience in Python and SQL Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Experience in ETL concerning metadata management and data validation.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in building robust data pipelines, ETL and data processing using Spark; Building and scaling the distributed infrastructure of Amazon's EMR platform; SQL and multiple programming languages to optimize data processes and retrieval.
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Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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