Lead Data Engineer

• Participate in the customer s system design meetings and collect the functional/technical equirements.
  
• Build up data pipelines for consumption by the Data Science team.
  
• Experience with ETL process and tools.
  
• Clear understanding and experience with Python and PySpark or Spark and SCALA with HIVE irflow Impala and Hadoop and RDBMS architecture.
  
• Experience in writing Python programs and SQL queries.
  
• Experience in SQL Query tuning.
  
• Experienced in Shell Scripting (Unix/Linux).
  
• Build and maintain data pipelines in Spark/PySpark with SQL and Python or SCALA.
  
• Knowledge of Cloud (Azure/AWS/GCP etc..) technologies.
  
• Good to have knowledge of Kubernetes CI/CD concepts Apache Kafka.
  
• Suggest and implement best practices in data integration.
  
• Guide the QA team in defining system integration tests as needed.
  
• Split the planned deliverables into tasks and assign them to the team.
  
• Needs to Maintain/Deploy the ETL code and follow the Agile methodology.
  
• Needs to work on optimization wherever applicable.
  
• Good oral written and presentation skills.
  

Requirements

• Degree in Computer Science IT or a similar field; a Master s is a plus.
  
• Handson experience with Python and PySpark.
  
• Handson experience with Spark and SCALA.
  
• Great numerical and analytical skills.
  
• Working knowledge of cloud platforms such as MS Azure AWS etc.
  
• Technical expertise in data models data mining and segmentation techniques.