Minimum of Ten (10) years’ experience in the fields of data warehousing, ETL and application development.
Minimum of 5+ years of work experience on the Hadoop based Data Lake solutions.
Minimum of 3+ years of experience on cloud-native and cloud-agnostic Data Lake/Data warehousing solutions preferably cloud data platform, Snowflake and AWS
Strong experience in design and development of Snowflake data pipelines using Snowpark, Streamlit and SwowCLI hosted on AWS cloud.
Hands on experience with AWS services like EC2, S3, Lambda, Step functions, Glue, Kafka and Airflow.
1+ years of experience on Data flow tools such as Apache Airflow.
Data Engineer experience with strong programming background using SQL, Python, Java and Linux scripting (BASH).
Prior experience leading ETL work, Data warehouse/Data Lake development a plus.
Ability to work as part of a team, self-motivation, adaptability and positive attitude.