We are looking for an experienced Senior Snowflake Data Engineer to design, build, and scale modern data platforms that power analytics, conversational analytics, and AI-driven initiatives.

The ideal candidate should have strong expertise in developing scalable data pipelines, building data products, ensuring data quality, and implementing secure, high-performance data solutions using Snowflake and modern cloud data engineering practices.

Location : Bengaluru and Hyderabad

Key Responsibilities :

Data Pipeline & Product Development :

- Design, develop, and maintain scalable data pipelines and data products using Snowflake.

- Build robust data ingestion, transformation, and processing workflows.

- Develop high-quality data solutions that support :

1. Enterprise analytics

2. Conversational analytics

3. AI/ML initiatives

- Create reliable and reusable data engineering frameworks.

- Optimize data pipelines for performance, scalability, and cost efficiency.

Snowflake Development :

- Design and implement Snowflake-based data warehouse solutions.

- Develop complex SQL queries, data models, and transformation logic.

- Perform performance tuning and optimization of Snowflake workloads.

- Manage data processing workflows and ensure efficient data consumption.

Data Quality & Governance :

- Treat data as a product by ensuring :

1. Accuracy

2. Reliability

3. Consistency

4. Availability

- Implement data validation, monitoring, and quality improvement processes.

- Follow security best practices throughout the data development lifecycle.

Collaboration & Delivery :

- Collaborate with data scientists, analysts, AI teams, and business stakeholders to understand data requirements.

- Support analytics and AI use cases through well-structured data foundations.

- Participate in design discussions, code reviews, testing, and production support activities.

Required Skills & Experience :

- 6 to 10 years of experience in Data Engineering.

- Strong hands-on experience with :

1. Snowflake

2. SQL

3. Data Warehousing concepts

4. ETL/ELT pipeline development

- Experience designing and developing scalable data pipelines.

- Strong understanding of :

1. Data modeling

2. Data integration patterns

3. Data quality frameworks

4. Data security concepts

- Experience working with cloud-based data platforms.

- Strong programming skills in languages such as :

1. Python

2. SQL

- Experience with :

1. Cloud platforms (AWS/Azure/GCP)

2. Apache Spark

3. Airflow

4. dbt

5. Data governance tools

6. Analytics and AI data platforms

- Knowledge of supporting :

1. Machine Learning workflows

2. Conversational analytics solutions

3. AI-driven applications

Ideal Candidate Profile :

- A data engineering professional who can build secure, scalable, and high-quality data foundations that enable enterprise analytics and next-generation AI solutions.