Senior Data Engineer

• Create and enhance data solutions enabling seamless delivery of data and handle collecting parsing managing and analyzing large sets of data across different domains for analysis.
  
• Use different Data warehousing concepts to build a Data warehouse for internal departments of the organization.
  
• Design and develop data pipelines data ingestion and ETL processes that are scalable repeatable and secure for stakeholder needs.
  
• Build data architecture to support data management strategies to support business intelligence efforts for various stakeholders.
  
• Develop near realtime and batch ETL data processes aligned with business needs manage and augment data pipeline from raw OLTP databases to data solution structures.
  
• Document data flow diagrams security access data quality and data availability across all business systems.
  

Requirements

• Bachelor s degree in computer science Information Technology or equivalent.
  
• 35 years of experience in the same field
• Proven experience in Linux and Windows Server OS and Oracle/MySQL/MSSQL Mongo DB environments.
  
• Strong experience in Python
  
• Hands on experience experience in ETL development (Apache spark kafka airflow apache impala Hadoop hdfs)
  
• Strong understanding of ODS DDS and data marts
  
• Excellent communications skills with both technical and business audiences
  

Benefits