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About the role
Highlights We are seeking a Data Engineer with 58 years of experience in designing and developing scalable data solutions using Snowflake, Databricks, dbt, and Tableau. The ideal candidate should have strong expertise in Data Warehousing, SQL optimization, AWS, and Linux, with experience building end-to-end data pipelines and enabling business analytics and reporting. Knowledge of Snowflake Administration and Apache Airflow is an added advantage. Key Responsibilities 58 years of experience in Data Engineering with a proven track record of designing, developing, and managing enterprise data solutions. Strong experience in designing, developing, and managing scalable data platforms using Snowflake and Databricks. Good understanding of AWS Cloud services and Linux environments. Handson experience in SQL performance tuning and query optimization in Snowflake. Experience in designing and implementing Data Warehouse solutions, including dimensional modelling and data marts. Experience working with structured and semistructured data formats such as JSON, CSV, XML, and Excel. Experience integrating data platforms with Tableau or other BI/Reporting tools. Proficiency with version control systems such as GitHub and collaboration tools like Jira. Handson experience with dbt (Data Build Tool) for data transformation, modelling, testing, and deployment. Excellent analytical, problemsolving, and communication skills. Must Have Snowflake Databricks Tableau Data Warehousing SQL Query Optimization dbt (Data Build Tool) AWS Cloud Linux Should Have Snowflake Administration Apache Airflow CI/CD for Data Pipelines Highlights We are seeking a Data Engineer with 58 years of experience in designing and developing scalable data solutions using Snowflake, Databricks, dbt, and Tableau. The ideal candidate should have strong expertise in Data Warehousing, SQL optimization, AWS, and Linux, with experience building end-to-end data pipelines and enabling business analytics and reporting. Knowledge of Snowflake Administration and Apache Airflow is an added advantage. Key Responsibilities 58 years of experience in Data Engineering with a proven track record of designing, developing, and managing enterprise data solutions. Strong experience in designing, developing, and managing scalable data platforms using Snowflake and Databricks. Good understanding of AWS Cloud services and Linux environments. Handson experience in SQL performance tuning and query optimization in Snowflake. Experience in designing and implementing Data Warehouse solutions, including dimensional modelling and data marts. Experience working with structured and semistructured data formats such as JSON, CSV, XML, and Excel. Experience integrating data platforms with Tableau or other BI/Reporting tools. Proficiency with version control systems such as GitHub and collaboration tools like Jira. Handson experience with dbt (Data Build Tool) for data transformation, modelling, testing, and deployment. Excellent analytical, problemsolving, and communication skills. Must Have Snowflake Databricks Tableau Data Warehousing SQL Query Optimization dbt (Data Build Tool) AWS Cloud Linux Should Have Snowflake Administration Apache Airflow CI/CD for Data Pipelines