Company Overview:

KPI Partners India Private Limited is a specialized services firm focused on digital transformation, data analytics, and cloud engineering. The company partners with global enterprises to modernize their data ecosystems, leveraging advanced cloud platforms to drive actionable business intelligence. Operating at the intersection of data strategy and technical execution, KPI Partners enables organizations to scale their data infrastructure and optimize decision-making processes across diverse industry verticals.

Role Overview:

As a Snowflake Engineer, you will be responsible for architecting and maintaining robust data pipelines and cloud-based warehouse solutions. You will work closely with cross-functional data engineering teams and business stakeholders to translate complex data requirements into high-performance, scalable Snowflake environments. Your contributions will directly influence the efficiency of data delivery, ensuring that our clients have reliable, real-time access to critical business insights that drive their strategic initiatives.

Key Responsibilities:

- Design and implement end-to-end data ingestion and transformation workflows using Snowflake and dbt to support complex analytical requirements.

- Develop and optimize sophisticated SQL queries and stored procedures to ensure high performance and cost-efficiency within the Snowflake environment.

- Automate and orchestrate data pipeline scheduling and monitoring using Apache Airflow to maintain high data availability and reliability.

- Collaborate with data architects and business analysts to refine data models and ensure alignment with organizational reporting needs.

- Troubleshoot and resolve performance bottlenecks within the data ecosystem to maintain seamless operations for end-users.

- Implement best practices for data governance, security, and schema management across cloud data platforms.

Required Skillset:

- Demonstrated expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.

- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).

- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing tasks.

- Proven experience in managing workflow orchestration and task scheduling using Apache Airflow.

- Strong analytical mindset with the ability to communicate technical data solutions to non-technical stakeholders effectively.

- Ability to thrive in a distributed work environment, maintaining high productivity and collaboration across Hyderabad, Bangalore, Pune, or remote setups.

- Possession of 5 to 12 years of relevant professional experience in data engineering and cloud analytics.