Lead Snowflake Data Engineer (Bengaluru)

Lead Snowflake Data Engineer (Bengaluru)

02 Aug
|
EPAM Systems
|
Bengaluru

02 Aug

EPAM Systems

Bengaluru

Job title: Snowflake Data Engineer

Primary Skill: Snowflake (Snow SQL, Snow PLSQL and Snowpark, Snowflake Cortex, DBT)

Location: Bangalore/Hyd/Pune/ GGN/ Chennai/Jaipur/ Coimbatore

Key Skills:

Main Technology Focus

- Snowflake with strong hands-on experience in Snowflake Cortex AI/DBT
- AWS/Azure, Python, SQL, PySpark
- Data engineering set-up with robust programming skills

Requirements:

- Looking for engineer for information warehouse
- Warehouse is based on AWS/Azure, DBT, Snowflake.
- Strong programming experience with Python.
- Experience with workflow management tools like Argo/Oozie/Airflow.
- Experience in Snowflake modelling - roles, schema, databases
- Experience in data Modeling (Data Vault).
- Experience in design and development of data transformation pipelines using the DBT framework.
- Experience with Cloud providers, preferably AWS
- The warehouse must be scalable, secure and well performant. The solution should be reusable and support future use cases.
- This will be used as storage layer for the platform
- Essential part of the warehouse is integration with monitoring and observability capabilities.

Responsibilities:

- Snowflake Data Modeling: Design and implement scalable Snowflake data models,



optimized for data ingestion and analytics requirements.
- ETL Pipeline Development: Build and maintain robust ETL pipelines to integrate data from multiple sources into Snowflake, ensuring data integrity and consistency.
- Performance Optimization: Optimize Snowflake usage and storage, tuning query performance and managing data partitions to ensure quick, reliable access to data.
- Data Security & Governance: Implement best practices in data security, role-based access control, and data masking within Snowflake to maintain compliance and data governance standards.
- Automation & Workflow Management: Utilize tools such as dbt and Apache Airflow to schedule data processing and automate pipeline monitoring.
- Collaboration & Troubleshooting: Partner with data scientists, business analysts, and other stakeholders to address complex data challenges and troubleshoot Snowflake-related issues effectively.
- Documentation & Reporting: Develop comprehensive documentation for data structures, ETL workflows, and system processes to ensure transparency and knowledge sharing within the team.

📌 Lead Snowflake Data Engineer (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru

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