Cloud Engineer

Job Description

We are looking for an experienced Data Engineer / Technical Lead with mandatory expertise in Snowflake and dbt (data build tool) , along with strong skills in Data Warehousing, Data Modeling, and Data Engineering. The ideal candidate will have hands-on experience in AWS data services (Aurora, RDS, DMS, DynamoDB), Oracle, PL / SQL, and SQL, coupled with leadership experience in customer-facing roles for requirement gathering and solution design.

Roles & Responsibilities

Key Responsibilities :

Technical Leadership & Data Engineering :

Lead end-to-end data warehousing projects using Snowflake and dbt (mandatory skills)

Design and implement scalable data models, ETL / ELT pipelines, and data architecture in Snowflake

Develop and optimize dbt models, transformations, and data workflows for efficient analytics

Work with AWS data services - Aurora, RDS, DMS, DynamoDB - for data integration and migration

Optimize SQL, PL / SQL queries and database performance (Oracle, PostgreSQL, etc.)

Implement CDC (Change Data Capture) and real-time data processing solutions

Ensure data governance, quality, and best practices in data engineering

Requirement Analysis & Customer Handling :

Collaborate with stakeholders to gather, analyze, and document business requirements

Handle Change Requests (CRs) and provide technical solutions aligned with business needs

Act as a bridge between business teams and technical teams for data-driven decision-making

Team Leadership & Mentorship :

Guide and mentor junior data engineers in Snowflake, dbt, and modern data stack best practices

Ensure adherence to data security, compliance, and scalability principles

Mandatory Skills & Experience :

6-13 years of hands-on experience in Data Engineering, Data Warehousing, and Data Modeling

Expert-level proficiency in Snowflake and dbt (data build tool) - Mandatory

Strong expertise in :

AWS Data Services (Aurora, RDS, DMS, DynamoDB)

Oracle, PL / SQL, SQL, and database optimization

ETL / ELT pipelines & Data Integration

Data Architecture & Dimensional Modeling (Star Schema, Kimball, etc.)

Experience in customer handling, requirement gathering, and solution design

Preferred Qualifications :

Certification in Snowflake, dbt, or AWS Data Technologies

Experience with Python, PySpark, or other scripting languages

Knowledge of CI / CD pipelines for data workflows