Senior Data Engineer

Job Description

Sr Data Engineer (SQL , Python , Snowflake , AWS) Exp- 4 to 7 Years We are looking for a Data Engineer with expertise in SQL and Python, along with foundational knowledge of AWS Glue ETL. The ideal candidate should have experience in access roles, policies, and RBAC/PBAC implementation, especially within Snowflake. Working in agile product teams is essential, and certifications in AWS Cloud and Snowflake Engineering are highly preferred . Roles and Responsibilities Data engineering Write efficient SQL queries to process and manipulate large datasets. Develop and optimize Python-based data processing scripts and workflows. Design, develop, and maintain scalable ETL pipelines using AWS Glue. Participate in agile development processes, including sprint planning, stand-ups, and retrospectives. Work on cloud-based data solutions, leveraging AWS and Snowflake best practices. Basic knowledge of access control mechanisms, including RBAC (Role-Based Access Control) and PBAC (Policy-Based Access Control) within Snowflake. Configure and monitor Snowflake access roles, policies, and user permissions Required Qualifications: 3-5 years of experience in data engineering or a related field. Strong proficiency in SQL and Python . Basic understanding of AWS Glue ETL and its functionalities. Experience working in an agile product development environment. Basic knowledge of access roles, policies, RBAC, PBAC, and Snowflake access role management. Strong understanding of cloud-based data solutions (AWS, Snowflake). Excellent problem-solving and analytical skills. Preferred Qualifications: AWS Cloud certification (AWS Certified Data Analytics, AWS Certified Solutions Architect, etc.) Snowflake Engineering certification . Experience with big data processing frameworks (Spark, Hadoop). Knowledge of data governance and security best practices