Job Description
Primary skills:Technology->Data on Cloud-DataStore->Snowflake Strong experience in Snowflake Data Warehousing Proficiency in SQL (advanced joins, analytical functions) Hands-on with ETL/ELT tools Experience with cloud platforms (AWS / Azure / GCP) Knowledge of data modeling (star/snowflake schema) Familiarity with Python or scripting is a plus Understanding of data pipelines and workflow orchestration
Design, develop, and maintain data models, views, and schemas in Snowflake Develop and optimize complex SQL queries, stored procedures, and user-defined functions (UDFs) Implement and manage ETL/ELT pipelines for data ingestion from multiple sources Optimize Snowflake performance using clustering, caching, partitioning, and query tuning Implement data security, access control, and governance using Snowflake best practices Work with cloud services (AWS/Azure/GCP) for data integration and orchestration Collaborate with stakeholders to understand data requirements and translate them into technical solutions Perform data quality checks, monitoring, and troubleshooting Support CI/CD implementation for data pipelines and deployments
2–5 years of overall experience in data engineering / data warehousing Strong proficiency in SQL and performance tuning Experience with ETL/ELT tools (e.g., Informatica, Matillion, Talend, dbt, Airflow) Strong understanding of data warehousing concepts (star schema, snowflake schema, dimensional modeling) Experience working with cloud platforms (AWS, Azure, or GCP) Knowledge of data integration techniques and semi-structured data (JSON, Parquet) Experience with version control tools such as Git Strong analytical, problem-solving, and communication skills
