Data Engineer Lead

This is a remote position.

• Collaborate with stakeholders to understand data requirements and translate them into technical specifications and system architectures.
  
• Design and implement robust ETL processes to ingest transform and load data from various sources into the Snowflake data warehouse using Python and SQL.
  
• Optimize data pipelines for performance reliability and scalability leveraging cloudnative services within the AWS ecosystem such as AWS ECS and S3.
  
• Ensure data quality and integrity throughout the data lifecycle by implementing data validation and quality control mechanisms.
  
• Mentor and coach team members providing technical guidance best practices and fostering a culture of collaboration and continuous learning.
  
• Collaborate with crossfunctional teams including data analysts software engineers and business stakeholders to support datadriven decisionmaking and deliver actionable insights.
  

Requirements

• Proven experience as a Data Engineer with at least 5 years of experience in building and maintaining data pipelines and infrastructure.
  
• Strong proficiency in Python for scripting and automation as well as SQL for data manipulation and querying.
  
• Experience working with Snowflake or similar cloudbased data warehousing platforms.
  
• Previous experience leading a team of data engineers with a track record of successful project delivery and team collaboration.
  
• Strong problemsolving skills and ability to troubleshoot complex data issues in a distributed environment.
  
• Excellent communication and interpersonal skills with the ability to effectively communicate technical concepts to both technical and nontechnical stakeholders including those in the US.
  
• Must have Fiber Optic internet with at least 25 Mbps bandwidth
  
• Must have a backup desktop or laptop with the latest OS
  
• Must be able to work following Mountain time (during Probationary) / PH Hours (after Regularization)
  

Benefits