Lucknow, Uttar Pradesh
Job Summary
Key Responsibilities
Data Analysis & Understanding
Perform detailed data analysis to identify trends, patterns, and anomalies. Translate business requirements into scalable data solutions.
Data Modeling & Design
Design, develop, and maintain efficient data models and database structures in Snowflake to support analytics and reporting requirements while ensuring data integrity and scalability.
Data Pipeline Development
Develop and maintain robust ETL/ELT pipelines using SQL and relevant data integration tools to ingest and transform data from multiple source systems.
Snowflake Development & Optimization
Build and optimize Snowflake-based data solutions , including views, stored procedures, and optimized queries to ensure high performance and scalability.
Data Quality & Validation
Implement data quality checks, validation frameworks, and monitoring mechanisms to ensure reliability and consistency of data.
Performance Optimization
Optimize SQL queries, data models, and storage structures to improve data processing efficiency and reduce execution time.
Cross-Team Collaboration
Work closely with BI teams, analysts, and business stakeholders to understand reporting requirements and translate them into data engineering solutions.
Documentation & Standards
Maintain proper documentation for data models, data pipelines, transformations, and data flow architecture.
Continuous Improvement
Stay updated with emerging technologies and best practices in cloud data engineering, Snowflake architecture, and data modeling .
Individual Contribution: Ability to independently drive data engineering tasks as an Individual Contributor, taking end-to-end ownership from requirement understanding to implementation, optimization, and delivery.
Key Responsibilities
1. Design and develop snowflake data models and pipelines to support business requirements
2. Write complex sql queries for data extraction, transformation, and loading processes
3. Develop and maintain python scripts for automation and data processing tasks
4. Collaborate within team to ensure seamless integration of developed solutions
5. Troubleshoot and debug code to maintain system performance and data accuracy
6. Stay updated on industry best practices and trends in snowflake, sql, and python technologies
Skill Requirements
1. Proficiency in snowflake data warehousing platform
2. Strong sql querying skills for data extraction and manipulation
3. Experience in python programming for developing scripts and automation
4. Understanding of data modeling concepts and etl processes
5. Ability to work in a fast paced environment and manage multiple priorities effectively
6. Good problem-solving and analytical skills
7. Strong communication and interpersonal abilities for effective collaboration with team members and stakeholders
Other Requirements
1.SnowPro Core Certification in Snowflake is preferred but not mandatory
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