Cloud Engineer

2 days ago

Bangalore, India Impetus Full time

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

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