Snowflake Data Engineer

Tringapps Research Labs; Bengaluru; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Tringapps Research Labs in Bengaluru seeks an experienced Lead Data Engineer with strong Snowflake and dbt skills to design and implement scalable data solutions across cloud platforms.

You will lead data pipeline development, mentor engineers, ensure data quality and governance, and collaborate with stakeholders to deliver robust data platforms.

Qualifications

• 7+ years in Data Engineering with at least 3–4 years in a lead role.
• Strong hands-on Snowflake experience including modeling, performance tuning, security and cost management.
• Proficient in dbt, Python, and Airflow for building end-to-end data pipelines.
• Experience with ELT/ETL tools like Fivetran.

Responsibilities

• Lead design, development, and optimization of data pipelines and data warehouse solutions on Snowflake.
• Develop and maintain dbt models for data transformation, testing, and documentation.
• Collaborate with cross-functional teams to deliver robust data solutions.
• Ensure data quality, governance, and security across pipelines and platforms.
• Leverage Airflow to schedule and monitor workflows.
• Integrate data from multiple sources using tools like Fivetran.
• Provide technical leadership, mentoring, and guidance to junior engineers.
• Optimize costs, performance, and scalability of cloud-based data environments.
• Contribute to architectural decisions, code reviews, and best practices.

Skills

Snowflake

dbt

Python

Airflow

Fivetran

Leadership

Data governance

Data warehousing

Problem-solving

Tools

Airflow

Fivetran

Job description

Role & responsibilities

Role Overview

We are seeking an experienced Lead Data Engineer with strong expertise in Snowflake and dbt, to

design and implement scalable, high-performing data solutions. The ideal candidate will have proven

experience in building modern data pipelines, mentoring engineering teams, and driving best practices

for cloud-based data platforms.

Key Responsibilities

• Lead the design, development, and optimization of data pipelines and data warehouse solutions on Snowflake.
• Develop and maintain dbt models for data transformation, testing, and documentation.
• Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to deliver robust data solutions.
• Ensure high standards of data quality, governance, and security across pipelines and platforms.
• Leverage Airflow (or other orchestration tools) to schedule and monitor workflows.
• Integrate data from multiple sources using tools like Fivetran.
• Provide technical leadership, mentoring, and guidance to junior engineers in the team.
• Optimize costs, performance, and scalability of cloud-based data environments.
• Contribute to architectural decisions, code reviews, and best practices.

Required Skills & Experience

• 812 years of overall experience in Data Engineering, with at least 3–4 years in a lead role.
• Strong hands-on expertise in Snowflake (data modeling, performance tuning, query optimization, security, and cost management).
• Proficiency in dbt (core concepts, macros, testing, documentation, and deployment).
• Solid programming skills in Python (for data processing, automation, and integrations).
• Experience with workflow orchestration tools such as Apache Airflow.
• Exposure to ELT/ETL tools like Fivetran.
• Strong understanding of modern data warehouse architectures, data governance, and cloud- native environments.
• Excellent problem-solving, communication, and leadership skills.

Good to Have

• Hands-on experience with Databricks (PySpark, Delta Lake, MLflow).
• Exposure to other cloud platforms (AWS, Azure, or GCP).
• Experience in building CI/CD pipelines for data workflows.