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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Expert knowledge of distributed data processing frameworks like Apache Spark, Hadoop, or Flink.
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DevOps Tools: Jenkins, Ansible, Terraform, Spark/Databricks, Kafka/MSK, ELK, Pentaho-ETL, Mongo DB, Couchbase DB, Graph DB. DevOps Tools: Jenkins, Ansible, Terraform, Spark/Databricks, Kafka/MSK, ELK, Pentaho-ETL, Mongo DB, Couchbase DB, Graph DB.
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Hands-on architecture/development of ETL pipelines using our internal framework written in Apache Spark & Java. At least 8+ years of experience architecting and implementing complex ETL pipelines preferably with the Spark toolset.
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Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest python, R, and/or Spark.
$158,000Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc. Databricks, Snowflake, AWS, GCP, Azure, dbt, Fivetran, Hudi, Iceberg, spark, Python, PyTorch, TensorFlow, SQL, etc.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Job Title : Azure Data Engineer (Python, Scala, Spark, ETL) 6 to 12 years of experience in Python, Scala, Spark, ETL Design, and Implementation. Expert-level certifications: Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Data Engineer Associate.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins, Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark.
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Big Data Technologies: Utilize big data technologies and frameworks, such as Apache Spark, Hadoop, or Kafka, to process and analyze large-scale data sets. Technical Skills: Strong proficiency in data engineering technologies and tools, including database systems, ETL frameworks, big data platforms, and cloud services.
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Uses data concepts, tools, and programming techniques including SQL programming, MS SQL Server development, Oracle Business Intelligence, Teradata, Tableau, Data Bricks, Snowflake and/or comparable platforms (e.g., Alteryx, Spark, Python, R) to perform extract, transform, load (ETL) and data analysis activities.
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6 to 12 years Python, Scala, Spark, ETL Design & Implementation, Azure Synapse Analytics, Azure Data Factory. Expert "Microsoft Certified: Azure Data Engineer Associate / Databricks Certified Data Engineer Associate.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and Spark. Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and Spark.
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ETL/Data Analyst Dev (Scala & Spark, Pentaho)- Philadelphia, PA. Big Data(Spark, Scala), SQL - Hive, Teradata, Spark, SQL. We have Contract for ETL Data Analyst f or our client Philadelphia, PA.
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spark etl jobs in Philadelphia, PA
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