Role Brief -

As a Senior Snowflake Data Engineer, you will be responsible for designing, building, and scaling a up-to-date cloud data platform that powers analytics, machine learning, and product intelligence across the organization. You will play a key role in building highly scalable data pipelines, optimizing the cloud data warehouse, and enabling reliable, secure, and high-performance data infrastructure.

This role requires deep expertise in cloud data engineering, strong problem-solving abilities, and the ability to collaborate closely with analytics, product, and engineering teams to transform raw data into trusted, business-ready datasets.

You will work with modern technologies including Snowflake, cloud infrastructure, orchestration frameworks, and BI platforms Tableau to support data-driven decision-making at scale.

We Need from you

- 4-8 years of experience in Data Engineering or Data Platform development.
- Strong hands-on experience building and managing enterprise-scale data warehouses in Snowflake.
- Proven expertise in designing and implementing highly scalable ETL/ELT pipelines.
- Advanced proficiency in SQL for complex transformations and performance tuning.
- Experience with orchestration frameworks such as Apache Airflow or similar workflow management tools.
- Experience building data models for analytics using Star Schema and dimensional modelling.
- Hands-on experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
- Experience working with large-scale datasets and distributed data processing systems.
- Strong understanding of data governance, security, and access control frameworks.




- Experience supporting BI and analytics platforms such as Tableau or Power BI.
- Experience collaborating with cross-functional teams including product managers, analysts, and other platforms teams.
- Experience in industry like Media, Entertainment, Digital, Telecom is Preferred

Skills Required

Cloud Data Warehouse

- Snowflake architecture and optimization
- Data warehouse performance tuning

• Data storage and compute management

Data Engineering

- ETL/ELT pipeline development
- Workflow orchestration using Airflow or similar tools

• Data ingestion frameworks and automation

SQL & Data Modelling

- Advanced SQL
- Dimensional modelling

• Fact and dimension table design

Cloud Platforms

- Snowflake, AWS / Azure / Google Cloud services • Cloud storage and compute services

Data Visualization & BI
- Tableau

Programming

- Python for data processing and automation • Scripting for pipeline automation

What will you do?

- Design and implement scalable data pipelines and cloud data warehouse architecture.
- Build and maintain high-performance ELT workflows in Snowflake.

- Develop and maintain data models optimized for analytics and reporting.
- Collaborate with analytics and BI teams to enable reliable datasets for dashboards and reporting.
- Optimize Snowflake warehouses for performance, scalability, and cost efficiency.

- Implement data governance, security policies, and access controls.
- Monitor data pipelines and implement robust data quality and reliability checks.
- Support advanced analytics and machine learning initiatives by enabling clean and structured datasets.

- Ensure data freshness, accuracy, and reliability
- Maintain documentation for data architecture, pipelines, and transformation logic.

📌 Deputy Manager Analytics (Noida)
🏢 DishTV
📍 Noida