Lead Data Engineer

 A candidate for this position must have had at least 6-7 years of working experience in data engineering

 Should be able to design cloud based solutions and also work hands on any projects

 Should be able to evaluate the current processes/approaches and propose best

approaches wherever needed

 Should be able to estimate project cloud infrastructure costs

 Should be able to handle multiple projects and lead the team members

 Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals

 At least 5 years of professional work experience programming in Python or Spark/PySpark

 5+ years of experience with relation databases by writing Stored Procedures, Common Table Expressions, Window Functions, Partitioning and other advanced RDBMS tasks and some experience working on NOSQL database

 5 years hands-on experience in GCP/AWS cloud stack and should have designed

solutions for minimum 2-3 different projects

 Hands on experience with more than 1 cloud(AWS/GCP) cloud would be added

advantage

 Hands on deployment experience in multi cloud GCP and AWS

 Ability to mentor and coach junior team members on data standards and practices and

also be client facing to understand the business requirements from clients

 Certification Criteria - Minimum AWS Solution Architect Associate in AWS Cloud or

Google Associate Cloud Engineer (ACE Certified) in GCP