Delivery Lead/ Technical Lead

As an ideal candidate for the role, you should have an excellent understanding of enterprise data warehousing principles and ETL/ELT solutions. Your flexibility is crucial to adjust to changing priorities in a fast-paced environment. Experience working on or with APIs for data delivery/ingestion such as REST APIs, GraphQL, etc., and batch-based data delivery/ingestion paradigms like csv files, ODBC connections is required. You should be familiar with code management tools like GitHub and Build and Deployment tools such as TravisCI. Additionally, you should possess excellent knowledge and working experience on data management technologies and frameworks, preferably on Python, Airflow, AWS API Gateway, SNS, SQS, Lambda. Having a good understanding of Lambda and Kappa Architecture patterns is advantageous. Your ability to work with large and complex data sets, data lakes, and data warehouses is essential. Proficiency in SQL query skills and hands-on experience with AWS Redshift, PostgreSQL, and other database technologies like MySQL, Microsoft SQL Server, etc., is necessary. You should be able to write complex queries to extract/inject data into those databases. Lastly, a proven ability to manage a team of developers and work in an objective-oriented environment is expected. As an ideal candidate for the role, you should have an excellent understanding of enterprise data warehousing principles and ETL/ELT solutions. Your flexibility is crucial to adjust to changing priorities in a fast-paced environment. Experience working on or with APIs for data delivery/ingestion such as REST APIs, GraphQL, etc., and batch-based data delivery/ingestion paradigms like csv files, ODBC connections is required. You should be familiar with code management tools like GitHub and Build and Deployment tools such as TravisCI. Additionally, you should possess excellent knowledge and working experience on data management technologies and frameworks, preferably on Python, Airflow, AWS API Gateway, SNS, SQS, Lambda. Having a good understanding of Lambda and Kappa Architecture patterns is advantageous. Your ability to work with large and complex data sets, data lakes, and data warehouses is essential. Proficiency in SQL query skills and hands-on experience with AWS Redshift, PostgreSQL, and other database technologies like MySQL, Microsoft SQL Server, etc., is necessary. You should be able to write complex queries to extract/inject data into those databases. Lastly, a proven ability to manage a team of developers and work in an objective-oriented environment is expected.