Bachelor's degree in Computer Science (or related field) with 6+years of developing experience in python with OOPS concepts and structuring the project.
Must have strong experience in Python and SQL
Extensive experience in SQL query design and tuning for performance and accuracy
Good to have strong experience in AWS services including S3, Kinesis, Lambda
Must have experience with Redshiftcluster troubleshooting and optimisation.
Must have strong experience in ETL including the newer low code ETL tools such as Fivetran, DBT, Airflow
Must have knowledge on Looker and Tableau. Tableau experience is preferred
Strong Experience in data engineering role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
Statistics experience preferred
Experience in big data processing and using databases in a business environment with large-scale, complex datasets. (SQL, Hadoop, Spark, NoSQL, Cloud DBs)
Experience in an Agile/Sprint working environment preferred
Proficient research skills to locate market information using numerous internal and external sources of data