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Cloud Data Engineer
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Cloud Data Engineer
Vision It US
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Cloud Data Engineer

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2586383

JOB SUMMARY

This position is for a Data Engineer working on different cloud data services mainly Azure & AWS Python SSIS and to support data pipeline development & migration efforts along with PowerBI dashboard/report development. This includes development and application maintenance efforts. The individual would be a selfstarter and capable of working with complex SQL queries debugging Python and SQL routines packages and code modification as needed.

JOB DUTIES ESSENTIAL FUNCTIONS

  • Design develop document & maintain complex data pipelines using AWS data services such as EMR Step Function SNS Event Scheduler to source data from multiple sources including RDBMS Parquet files (on AWS S3 bucket) Excel and text files.
  • Design develop document & maintain complex data pipelines using Azure data services such as Logic App ADF ADLS gen 2 Azure Databricks Azure Synapse workspace Event hub service bus to source data from multiple sources including RDBMS Parquet files (ADLS gen 2 S3 bucket GCP on prem) Excel and text files.
  • Deploy & automate (using CICD pipeline) Azure AWS cloud services using IaaC (Infra as a Code)
  • Develop & design web solution using ReactJS Redux & NodeJS
  • Evaluate debug and modify existing complex Python/PySpark code & SSIS packages in accordance with business requirements.
  • Perform data analysis and test/debug software solutions
  • Analyze existing ETL jobs develop ELT pipelines & data warehouse applications or work to formulate logic for moderately complex new systems and devise moderately complex algorithms.
  • Design and extract data from different data sources such as Guidewire application or other on prem databases
  • Apply effective programming security practices.
  • Practices current development methods/techniques including CI/CD pipelines using AWS CodeCommit & AWS CodePipeline Azure DevOps and establishes development standards (which include coding standards documentation standards and testing standards) to ensure the quality and maintainability of automated solutions.
  • Familiarity with designing & developing data pipelines to source data from AWS/Azure cloud or on prem to Snowflake platform
  • Following established change management code migration processes.

SKILLS AND ABILITIES

  • Experience in data ingestion data transformation and data loading
  • Experience in Azure Data platforms such as Azure Databricks Azure Synapse Azure Data Factory ADLS Gen2 etc. (REQUIRED)
  • Experience in AWS data platform such as AWS EMR Step Function Event Scheduler SNS S3 CodeCommit CodePipeline (REQUIRED)
  • Experience in Snowflake platform
  • Working knowledge of Python PySpark or equivalent
  • Demonstrated broad problemsolving skills including experience identifying and using code libraries and opensource forums
  • Good written and verbal communication skills

PRIOR WORK EXPERIENCE

  • 4 Years of Data ingestion and transformation experience using AWS data services such as EMR step function event scheduler SNS Python & SQL Server SSIS (any combination)
  • 2 Years experience in Snowflake platform
  • 8 Years ETL experience with designing star/snowflake schema
  • 2 Years of experience with Azure Data platforms (ADF Synapse workspace Databricks Event Hub Service Bus Logic App ADLS gen 2) and Python
  • 2 Years of experience in more than one objectoriented programming languages like React.JS Jode.JS HTML JavaScript
  • Proficiency with HTML CSS JavaScript/jQuery local storage and cross browser compatibility
  • Preferred any experience working with Guidewire Application
  • Any experience in Power BI Report Development will be a plus

EDUCATION

  • Bachelors degree in computer science or IT or equivalent

Required Skills : CI/CDPowerBISSIS
Additional Skills : Cloud AdministratorAWS EngineerData EngineerThis is a high PRIORITY requisition. This is a PROACTIVE requisition

Employment Type

Full Time

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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