Job Details
Engineering Lead will be proficient in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda with hands-on experience with Snowflake, Redshift based cloud data warehousing solutions.
- Should be familiar with DBT (Data Build Tool) for managing transformations in the data pipeline
- Should possess strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio for building data pipelines and ETL processes
- Should have experience with data pipeline orchestration tools like Apache Airflow
- Should have understanding of data modelling Principles and best practices
- Prior experience of leading Data Engineering Team
- Agile Practitioner; Strong Stakeholder Management