Snowflake Data Engineer (AWS)

Location

Gurgaon, Haryana, India

Salary

INR 1,500,000 - 1,500,000 / year

Company

Akash pawar

Job description

Role & Company / Project Overview: We are hiring an experienced Snowflake Data Engineer (AWS) for an onsite position in Gurgaon. There are 2 openings for this role. Key Responsibilities & Daily Duties: • Design, develop, and maintain data pipelines using Snowflake and AWS services. • Implement Snowpipe, Streams, Tasks, and Role-Based Access Control (RBAC). • Execute warehouse optimization strategies to maximize performance and cost efficiency. • Handle end-to-end ETL/ELT pipelines and data migration initiatives. • Implement automated deployments and version control utilizing Git, Bitbucket, and CI/CD pipelines. Required Qualifications, Skills & Experience: • Experience: 4 to 6 Years overall experience. • Minimum 2 years of dedicated Snowflake experience. • Strong AWS ecosystem knowledge: S3, IAM, Lambda, Glue, SNS/SQS, Step Functions, KMS, CloudWatch. • Proficiency in Python and PySpark. • Advanced SQL query development and tuning skills. • Snowpipe, Streams, Tasks, and RBAC implementation. • Data warehouse optimization, ETL/ELT, and data migration expertise. • Git/Bitbucket and CI/CD workflow experience. • Previous MNC experience is mandatory. • Good to have: Terraform, CloudFormation, Jenkins, dbt, Snowpark, Hadoop/Hive, Informatica IDMC, AutoSys/Zeke, Snowflake and AWS certifications. Working Hours, Shifts & Location Details: • Work location: Gurgaon (100% Onsite). • Eligibility: Delhi NCR local candidates only. • Notice period: Immediate joiners or candidates with a notice period up to 15 days. Compensation & Benefits: • CTC: Up to INR 15 LPA. Application Instructions: • Interview Process consists of 2 Virtual Rounds. • Interested candidates may send their CV via WhatsApp message (DM CV only, no calls).