Snowflake - Lead Development Engineer

Teizosoft; Hyderabad; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Teizosoft, based in Hyderabad, seeks a Lead Snowflake Data Engineer for designing, building and optimizing enterprise-scale data platforms on Snowflake. The role is hybrid, with 8+ years of experience, and will lead data engineering initiatives while mentoring team members.

The candidate will drive architectural decisions and implement scalable cloud-native data solutions, emphasizing data quality, governance, and lineage.

Qualifications

• 8+ years of experience in data engineering roles.
• Strong expertise with Snowflake Data Warehouse.
• Advanced SQL development and performance tuning skills.
• Data modeling experience (Star, Snowflake, Dimensional).
• ETL/ELT design and implementation experience.
• Experience with large-scale data migration and modernization projects.
• Knowledge of data quality, governance, and lineage concepts.

Responsibilities

• Design and optimize enterprise-scale data platforms on Snowflake.
• Lead data engineering initiatives and mentor team members.
• Drive architectural decisions for scalable cloud-native data solutions.
• Implement data quality, governance, and lineage practices.

Skills

Data engineering

Snowflake DW

SQL optimization

Data modeling

ETL/ELT design

Data migration

Data governance

Tools

Python

Job description

Lead Snowflake Data Engineer :

We are looking for a highly skilled Lead Snowflake Data Engineer to design, build, and optimize enterprise-scale data platforms on Snowflake. The candidate will lead data engineering initiatives, mentor team members, drive architectural decisions, and implement scalable cloud-native data solutions.

Location : Hyderabad

Mode of Work : Hybrid

Experience: 8+ Years

Must-Have Skills

• Data Engineering & Database
• Strong expertise in Snowflake Data Warehouse
• Advanced SQL development and performance tuning
• Data modeling (Star Schema, Snowflake Schema, Dimensional Modeling)
• ETL/ELT design and implementation
• Experience with large-scale data migration and modernization projects
• Data quality, governance, and lineage concepts

Programming :

• Strong proficiency in Python
• Experience building reusable data pipelines and frameworks
• API integration and data ingestion development

Cloud & DevOps :

• Hands-on experience with AWS, S3, Lambda, Glue, IAM, CloudWatch and Secrets Manager