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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Knowledge of ETL experience, Informatica along with Python experience and DevOps, Apache Spark/Shell Scripting. Connaissance de l'expérience ETL, Informatica avec une expérience Python et DevOps, Apache Spark/Shell Scripting.
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Experience developing software using the following: DevOps Pipeline Automation (Electric Flow, Terraform) Batch and Scripting Languages and Tools (Autosys / PowerShell / python / Unix shell) SQL Server / Oracle ETL knowledge.
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DE developing Python modules, Restful APIs for data exchange; building and orchestrating Extract, Transform and Load (ETL) data pipelines using Python, SQL procedures and shell scripts; developing Jasper templates for generating pdfs; and developing code within security standards using Hashicorp Vault.
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Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
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X UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis. Note : This role is not specifically for an ETL Developer or a Hadoop Developer. The position entails a balance of ETL tasks and data engineering responsibilities, with some exposure to the Hadoop/Big Data stack.
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Database and Query Languages-Hortonworks Hadoop, Hive, and Pig; Solr; SQL Server; Teradata; MongoDB; ETL and data cleanup; MySQL. Programming and Development- JAVA; C#; Perl; EXT & JQuery JavaScript; HTML; CSS; Visual Basic; shell scripting; object-oriented programming.
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As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
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Is seeking a highly skilled and motivated IDQ Lead with expertise in SQL, ETL skills, UNIX, shell and AutoSys with Informatica as a tool. ETL Development experience with Informatica PowerCenter.
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Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind.
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Hands on experience with ETL tools (Informatica Datahub/IDQ, Talend) Scripting languages (Bash, Python, Ruby, Shell, Perl, JavaScript) Mainframe troubleshooting and support skills (COBOL, JCL, DB2, DB2 Stored Procedures, CICS, SPUFI, File aid.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
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Net, S/Point, C#, SQL, XML, UML, ETL, SoapUI, REST, W/Services, Oracle, TOAD, informatica, D/warehousing, SQL Server, DB2, PERL, Shell/Java/ VB Scripting, Tableau, OBIEE, Salesforce, Rational, QC/ALM, QTP, Selenium, Jira, Bigdata, Hadoop, Cloud Computing, WebSphere, Windows, iOS, UNIX /Linux, etc.
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DE performing ETL operations, using Informatica Power Center and Metadata Manager; developing data masking solutions using Unix shell script; and creating functional and technical design mapping templates and solutions for data migrations using Workday I Loads.
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Data Warehouse ETL/ELT Testing, SQL, UNIX Shell Scripting. Understanding of the project functional and Nonfunctional requirements and Hands-on experience in QA ETL Testing. 5+ years of experience with a proven experience in ETL testing.
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