Experience
6 - 11 yrs
Job Location
Noida, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
Not specified
Job Description
Senior Data Engineer - PM
6+ Years
Must Have Skills- DBT framework, Snowflake, SQL
Designed and managed scalable Snowflake data platforms, including data architecture, schema design, and integration with cloud storage like Amazon S3.
Built and optimized data ingestion and transformation pipelines using Airflow and DBT to support batch and real-time processing.
Implemented robust security, governance, and compliance measures while tuning performance and controlling costs.
Collaborated with cross-functional teams to deliver reliable, automated, and high-performing data solutions.
Snowflake Administrator/Architect responsible for designing, implementing, and managing scalable data platforms on Snowflake.
Owns data architecture, including schema design, data modeling, and integration with cloud storage like Amazon S3.
Manages Snowflake environments (warehouses, roles, security, and access control).
Builds and optimizes data ingestion and transformation pipelines using tools like Apache Airflow and DBT.
Ensures high performance through query tuning, clustering, and workload optimization.
Implements data security, governance, and compliance (PII, audit, masking).
Monitors and optimizes cost through efficient warehouse and storage usage.
Supports real-time and batch data processing for analytics and ML workloads.
Collaborates with data engineering, analytics, and business teams for scalable solutions.
Drives automation, CI/CD, and best practices for a robust data platform. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
6+ Years
Must Have Skills- DBT framework, Snowflake, SQL
Designed and managed scalable Snowflake data platforms, including data architecture, schema design, and integration with cloud storage like Amazon S3.
Built and optimized data ingestion and transformation pipelines using Airflow and DBT to support batch and real-time processing.
Implemented robust security, governance, and compliance measures while tuning performance and controlling costs.
Collaborated with cross-functional teams to deliver reliable, automated, and high-performing data solutions.
Snowflake Administrator/Architect responsible for designing, implementing, and managing scalable data platforms on Snowflake.
Owns data architecture, including schema design, data modeling, and integration with cloud storage like Amazon S3.
Manages Snowflake environments (warehouses, roles, security, and access control).
Builds and optimizes data ingestion and transformation pipelines using tools like Apache Airflow and DBT.
Ensures high performance through query tuning, clustering, and workload optimization.
Implements data security, governance, and compliance (PII, audit, masking).
Monitors and optimizes cost through efficient warehouse and storage usage.
Supports real-time and batch data processing for analytics and ML workloads.
Collaborates with data engineering, analytics, and business teams for scalable solutions.
Drives automation, CI/CD, and best practices for a robust data platform. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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