Lead Data Engineer

• Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
• Technical expertise with data models, data mining and segmentation techniques.
• Experience with full SDLC lifecycle and Lean or Agile development methodologies.
• Knowledge of CI/CD and GIT Deployments.
• Ability to work in team in diverse/ multiple stakeholder environment.
• Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

Requirements

• Experience as a Lead: 5+ years, should pose a strong character in leading a small team.
• Bachelor’s qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
• At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.
• At least 5 years of recent hands-on professional experience (actively coding) working as a  Lead handling support & production issues.
• Professional experience working in an agile, dynamic and customer facing environment is required.
• Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
• Understanding of data streaming and scalable data processing is preferred to have.
• Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
• At least 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.
• Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.