Lead Data Engineer

2 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking an experienced Data Engineer to lead end-to-end data warehousing projects using Snowflake and dbt. The ideal candidate will have hands-on experience in AWS data services, Oracle, PL/SQL, and SQL, coupled with leadership experience in customer-facing roles for requirement gathering and solution design.

  • Tech Lead:

As a Technical Lead, you will be responsible for designing and implementing scalable data models, ETL/ELT pipelines, and data architecture in Snowflake. You will also work with AWS data services for data integration and migration, and optimize SQL, PL/SQL queries and database performance.

  • Data Engineering:

You will develop and optimize dbt models, transformations, and data workflows for efficient analytics, implement CDC (Change Data Capture) and real-time data processing solutions, and ensure data governance, quality, and best practices in data engineering.

  • Requirement Analysis & Customer Handling:

You will collaborate with stakeholders to gather, analyze, and document business requirements, handle Change Requests (CRs), and provide technical solutions aligned with business needs.

  • Team Leadership & Mentorship:

You will guide and mentor junior data engineers in Snowflake, dbt, and modern data stack best practices, ensuring adherence to data security, compliance, and scalability principles.

Mandatory Skills and Qualifications
  • 6-13 years of hands-on experience in Data Engineering, Data Warehousing, and Data Modeling
  • Expert-level proficiency in Snowflake and dbt - Mandatory
  • 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.)
Benefits
  • 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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