Data & Analytics Engineer - Consultant

Job Description : Snowflake Developer (4-6 Years of Experience) Location : Bangalore Responsibilities: Design and develop Snowflake-based data solutions, including data modeling, database objects, and SQL queries. Create and optimize Snowflake SQL queries for data extraction, manipulation, and reporting. Implement ETL processes to integrate data from various sources into Snowflake. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data quality and accuracy through data validation and cleansing processes. Monitor database performance, identify bottlenecks, and optimize queries for better efficiency. Troubleshoot and resolve issues related to Snowflake implementation and data pipelines. Stay up to date with emerging Snowflake features and best practices in cloud-based analytics. Provide technical guidance and support to junior members of the team. Requirements: 4-6 years of experience working as a Snowflake Developer Strong proficiency in Snowflake SQL and database concepts Hands-on experience with Snowflake's features and functionalities, including data loading, clustering, and security. Familiarity with ETL tools and processes for data integration Knowledge of data modeling principles and best practices Experience with cloud platforms such as AWS, Azure, or Google Cloud Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities No constraint on working from ODC – if there is a client ask. Job Description : Snowflake Developer (4-6 Years of Experience) Location : Bangalore Responsibilities: Design and develop Snowflake-based data solutions, including data modeling, database objects, and SQL queries. Create and optimize Snowflake SQL queries for data extraction, manipulation, and reporting. Implement ETL processes to integrate data from various sources into Snowflake. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data quality and accuracy through data validation and cleansing processes. Monitor database performance, identify bottlenecks, and optimize queries for better efficiency. Troubleshoot and resolve issues related to Snowflake implementation and data pipelines. Stay up to date with emerging Snowflake features and best practices in cloud-based analytics. Provide technical guidance and support to junior members of the team. Requirements: 4-6 years of experience working as a Snowflake Developer Strong proficiency in Snowflake SQL and database concepts Hands-on experience with Snowflake's features and functionalities, including data loading, clustering, and security. Familiarity with ETL tools and processes for data integration Knowledge of data modeling principles and best practices Experience with cloud platforms such as AWS, Azure, or Google Cloud Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities No constraint on working from ODC – if there is a client ask. Job Description : Snowflake Developer (4-6 Years of Experience) Location : Bangalore Responsibilities: Design and develop Snowflake-based data solutions, including data modeling, database objects, and SQL queries. Create and optimize Snowflake SQL queries for data extraction, manipulation, and reporting. Implement ETL processes to integrate data from various sources into Snowflake. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data quality and accuracy through data validation and cleansing processes. Monitor database performance, identify bottlenecks, and optimize queries for better efficiency. Troubleshoot and resolve issues related to Snowflake implementation and data pipelines. Stay up to date with emerging Snowflake features and best practices in cloud-based analytics. Provide technical guidance and support to junior members of the team. Requirements: 4-6 years of experience working as a Snowflake Developer Strong proficiency in Snowflake SQL and database concepts Hands-on experience with Snowflake's features and functionalities, including data loading, clustering, and security. Familiarity with ETL tools and processes for data integration Knowledge of data modeling principles and best practices Experience with cloud platforms such as AWS, Azure, or Google Cloud Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities No constraint on working from ODC – if there is a client ask.