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Data Engineer

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Job Description:


  • We are seeking an experienced Data Engineer with strong expertise in Azure Data Services Big Data technologies and ETL ELT processes
  • The ideal candidate will have domain knowledge in CPG and Manufacturing sectors along with hands on experience in data governance data modeling and cloud based data engineering
  • This role involves building scalable data pipelines integrating industrial data platforms and enabling advanced analytics for smarter decision making

Key Responsibilities:


  • Design and develop data pipelines using Azure Data Factory Azure Databricks and Azure Data Lake Gen2
  • Implement ETL ELT processes data integration techniques and data governance standards
  • Work with Big Data technologies such as Apache Spark and PySpark for large scale data processing
  • Gather engineer and prepare data for analytics and business insights
  • Integrate systems and data across diverse environments ensuring seamless connectivity
  • Build solutions to extract and consolidate data from multiple sources sales inventory product customer databases
  • Collaborate with ML Engineers Data Scientists and business stakeholders to enable automation and advanced analytics
  • Contribute to coding standards and best practices for data engineering workloads
  • Support modernization initiatives aligned with Industry 4
  • 0 and ISA 95 standards

Technical Requirements:


  • 5 7 years of experience in data engineering and data governance within industrial domains CPG Manufacturing
  • Strong knowledge of Azure Data Services Azure Data Factory Azure Databricks Azure Data Lake Gen2
  • Expertise in ETL processes data integration tools and pipeline development
  • Proficiency in Python SQL and Apache Spark
  • Understanding of Industry 4
  • 0 ISA 95 standards and maintenance strategies
  • Familiarity with AI ML concepts and ability to work with advanced analytics teams
  • Experience with DevOps CI CD for data pipeline automation

Additional Responsibilities:


  • Good to have
  • Exposure to data modeling data warehousing and cloud architecture
  • Knowledge of business intelligence tools and statistical programming
  • Ability to research and implement new tools for automation and optimization

Preferred Skills:

Technology->Data Engineering->Databricks,Technology->Cloud Integration->Azure Data Factory (ADF),Technology->Cloud Platform->Azure Analytics Services->Azure Data Lake,Technology->Consulting - Data Governance->Data Governance,Technology->Database->Data Modeling,Technology->OpenSystem->Python - OpenSystem

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