Lead Snowflake Data engineer

KPI Partners; Bengaluru Urban; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

KPI Partners is seeking a highly skilled Lead Snowflake Engineer to join our dynamic data engineering team in Bengaluru. You will design, implement, and manage data solutions using Snowflake, DBT, and Airflow to drive data quality, performance, and scalability.

You will lead data pipelines, mentor engineers, collaborate with stakeholders, and stay current with cloud data technologies to deliver robust data platforms.

Qualifications

• 7+ years of experience in data engineering with a focus on Snowflake.
• Strong expertise in DBT, Airflow, and Python programming.
• Solid understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills and ability to work independently and in a team.
• Strong communication and collaboration skills to work with stakeholders at all levels.

Responsibilities

• Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
• Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Perform data analysis and troubleshooting to ensure data integrity and reliability.
• Mentor and guide junior engineers, supporting their growth and development within the team.
• Stay current with industry trends and best practices related to data engineering and cloud technologies.

Skills

Snowflake

Python programming

Data warehousing concepts

DBT

Airflow

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

DBT

Airflow

Job description

KPI Partners is seeking a highly skilled and motivated Lead Snowflake Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and managing data solutions using Snowflake, DBT, and Airflow. You will play a critical role in driving our data engineering initiatives, ensuring data quality, performance, and scalability.

Key Responsibilities:

• Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
• Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Perform data analysis and troubleshooting to ensure data integrity and reliability.
• Mentor and guide junior engineers, supporting their growth and development within the team.
• Stay current with industry trends and best practices related to data engineering and cloud technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering or a related field, with a focus on Snowflake.
• Strong expertise in DBT, Airflow, and Python programming.
• Solid understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication and collaboration skills to work effectively with stakeholders at all levels.