Job Description

Architect, design, and implement scalable Snowflake-based data solutions . Develop data models, schema designs, and ETL pipelines to support business requirements. Lead large-scale data migration projects while ensuring performance optimization. Implement DataOps methodologies for efficient data management and automation. Work with AWS, Azure, and GCP to deploy cloud-based data architectures. Ensure data security and compliance with industry standards. Optimize CDC (Change Data Capture) processes for real-time data updates. Utilize DBT, Python, Java, or Scala to enhance data transformation and integration. Design and implement data visualisation solutions using tools like Tableau and Power BI . Required Skills Expertise: Strong expertise in Snowflake and cloud data warehousing concepts . Hands-on experience with ETL processes , data modelling, and schema design. Proficiency in SQL, DBT, Python, Java, or Scala for data transformation and automation. Experience in data integration and large-scale data migration solutions. Knowledge of CDC (Change Data Capture) methodologies . Familiarity with DataOps practices and modern data engineering workflows. Exposure to AWS, Azure, and GCP cloud platforms. Strong understanding of data security, governance, and compliance .