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Familiarity with additional data processing frameworks/tools like Apache Spark, dbt, or Kafka. - Data Processing: SQL, Apache Spark, dbt. - Proficiency in DAG-based orchestration tools like Apache Airflow, Prefect, or Luigi.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Tools: Informatica, SAS, Shell Scripting, EKS, Docker, OpenShift, Apache Spark/Amazon Kinesis. Preferred: OpenShift, Apache Spark/Amazon Kinesis, MongoDB. Tools: Informatica, SAS, Shell Scripting, EKS, Docker, OpenShift, Apache Spark/Amazon Kinesis.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Apache Spark, including Spark SQL, Spark Streaming, and Spark MLlib, as Databricks is built on Spark. Experience with data warehousing concepts, ETL processes, and tools like Apache Airflow, Talend, or Informatica.
ExpandApply NowActive JobUpdated 24 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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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 24 days ago - UpvoteDownvoteShare Job
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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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Extensive experience with Apache Spark and Databricks (or similar data processing frameworks). Design, develop, and implement efficient and scalable data pipelines using Apache Spark on Databricks.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Manage and optimize Apache Spark pools for high-performance data processing tasks. Minimum 3 years’ experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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2+ years designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and AWS Databricks. 3+ years hands-on Experience working on AWS Glue, SPARK-SQL, Python and Redshift.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL preferred. Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.
InternExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Solid hands-on software engineer who can design and code Big Data pipeline frameworks (as a software product - Cloudera ideally) – not just a “data engineer” implementing spark jobs, or a team lead for data engineers.
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machine apache spark jobs Title: engineer learning in Newark, NJ
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