Lead Data Engineer (Snowflakes)

KPI Partners; Hyderabad, Pune District, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

KPI Partners is seeking a Lead Data Engineer to design, implement, and optimize data architectures using Snowflake. You will guide a team of data engineers and collaborate with data scientists, analysts, and stakeholders to deliver scalable analytics solutions.

The role emphasizes strong SQL, Python/Java, ETL proficiency, and cloud data warehousing knowledge, with a focus on data quality, governance, and teamwork to drive business insights.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science or related field.
• Proven data engineering experience with Snowflake.
• Strong SQL skills and programming in Python or Java.
• Experience with ETL tooling and data modeling concepts.
• Cloud data warehousing knowledge and data governance understanding.

Responsibilities

• Design, implement, and optimize data pipelines and architecture using Snowflake.
• Lead the data engineering team and promote best practices.
• Collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
• Optimize ETL processes for performance and scalability.
• Ensure data quality, governance, and documentation across systems.
• Mentor junior teammates and stay updated on industry trends.

Skills

Snowflake

SQL

Python

Java

ETL

Data Modeling

Cloud Computing

Leadership

Education

Bachelor's or Master's degree in CS/DS

Tools

Snowflake

ETL Tools

Job description

Job Title: Lead Data Engineer (Snowflakes)

KPI Partners is seeking a skilled and results-driven Lead Data Engineer to join our dynamic team. In this role, you will play a critical part in designing, implementing, and optimizing our data architecture using Snowflake. You will lead a team of data engineers, collaborate with cross-functional teams, and ensure the successful execution of data projects that drive business insights and decision-making.

Key Responsibilities

1. 1. Design, develop, and maintain scalable data pipelines and architecture using Snowflake.
2. 2. Lead the data engineering team in implementing best practices for data integration, transformation, and storage.
3. 3. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
4. 4. Optimize data models and ETL processes for performance and efficiency.
5. 5. Ensure data quality and integrity by implementing data governance practices.
6. 6. Provide technical leadership, mentorship, and training to junior data engineers.
7. 7. Stay current with industry trends and emerging technologies related to data engineering and analytics.

Qualifications

1. 1. Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
2. 2. Proven experience as a Data Engineer, with a strong focus on Snowflake.
3. 3. Extensive knowledge of ETL tools and frameworks, as well as data modeling concepts.
4. 4. Proficiency in SQL and experience with programming languages such as Python or Java.
5. 5. Strong understanding of cloud computing and data warehousing concepts.
6. 6. Excellent problem-solving skills and the ability to work in a fast-paced environment.
7. 7. Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.