·        10 years’ experience working on cloud data warehouses and data pipelines with a focus on data engineering, building scalable, sustainable and secure data platforms powering intelligent applications.

·        Advanced experience in a Data Engineering or ELT Engineering role.

·        Expert-level proficiency in SQL query and stored procedure development.

·        Good knowledge of Data Modeling and Designing Architecture diagrams as per requirement.

·        Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.

·        Excellent experience with snowflakes and DBT

·        Competent with Python, Airflow, GitHub and DAG construction.

·        Experience with unstructured datasets and ability to handle Parquet, JSON, AVRO and XML file formats

·        Strong understanding of CI/CD principles, DevOps practices, software testing and quality

·        Hands-on Experience with cloud-based data engineering and storage technologies such as AWS and orchestration tools such as Apache Airflow Astronomer.

·        Advanced experience implementing data quality initiatives, monitoring, and auditing.

·        Oversee the design and development of interactive and engaging data visualizations and report using tools such as Looker, Tableau, Power BI, or custom visualization libraries.

·        Ensure adherence to best practices, including principles of clarity, accuracy, governance, and effectiveness.