Sr Cloud Data Engineer

The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.

Purpose:

Seeking a Senior Cloud Data Engineer to help build and evolve our Enterprise Data Platform, enabling data-driven decision making, AI innovation, and cloud modernization across the organization.

Must have Skills:

Strong experience with Snowflake Native Pipelines, Native Apps, Streamlit, and Python-based container services

Hands-on experience with Snowflake Cortex AI and AI-driven solutions

Proficiency in Python and experience with Java, Go, or TypeScript/JavaScript

Deep expertise in AWS (S3, Lambda, EC2, RDS, IAM, CloudFormation, Terraform)

Experience building data platforms, ETL/ELT pipelines, and cloud-native applications

Strong understanding of CI/CD, automation, security, and IAM policies

Responsibilities:

Design and develop enterprise-scale cloud data solutions.

Build resilient, secure, and high-performing data platforms.

Develop data migration, data delivery, and ML pipelines.

Partner with Data Engineering, Architecture, Product, and Data Science teams.

Drive automation through CI/CD, Infrastructure as Code, and cloud-native tooling.

Help shape next generation of AI and analytics capabilities. xsgimln

Qualifcations:

6+ years in Data Engineering, Platform Engineering, Analytics, or related fields

4+ years of hands-on AWS experience

Strong SQL and Python development skills

Bachelor's degree in Computer Science, Engineering, or related field

Snowflake, Redshift, or modern cloud data warehouses

Kafka or enterprise streaming platforms

Kubernetes, Docker, or AWS Fargate

AWS migrations and cloud modernization initiatives

Strong IAM, security, and cloud governance experience

Benefits Featured

Medical, Dental , and Vision Insurance is offered to qualified candidates.