Engineer, Data Engineering

Job Title

AWS Data Engineer

• Bachelor’s degree in computer science, Information Systems, or a related field.
• Python Programming :
  Strong proficiency in Python for data manipulation, scripting, and ETL tasks.
• AWS Services :
  Experience with AWS services such as Glue, Lambda, S3, Redshift, and EMR.
• Big Data Technologies :
  Familiarity with big data technologies like Hadoop, Hive, and Spark.
• Data Modeling :
  Knowledge of data modeling concepts and best practices.
• SQL and No
  
  SQL Databases :
  Proficiency in SQL and understanding of No
  
  SQL databases.
• Data Gove rnance and Security :
  Understanding of data governance principles and security practices.

6+

• Designing and Building Data Pipelines :
  Create efficient and scalable data pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and S3.
• Data Ingestion and Transformation :
  Extract, transform, and load (ETL) data from various sources into AWS data lakes or data warehouses.
• Data Modeling and Warehousing :
  Design and implement data models for efficient querying and reporting.
• Data Governance and Security :
  Ensure data quality, governance, and security best practices.
• Collaboration :
  Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

• Gather requirements from the customer.
• Train / manage a team of 2-3 developers

Bachelor’s degree in computer science, Information Systems, or a related field.