Role Description:
Seeking a Data Engineer with 1-2 years of experience, skilled in Snowflake, Python, and data warehousing. Responsibilities include deploying data warehouse solutions, building ETL/ELT pipelines, and supporting data strategy in a fast-paced environment. Strong problem-solving skills, cloud exposure, and teamwork are essential.

Responsibilities:
• Demonstrate expertise in data modelling, physical and logical schema designing, and ELT/ETL using Snowflake and SQL.

• Deploy fully operational data warehouse solutions into production on Snowflake.

• Support design of data strategy and governance.

• Must be problem-solving and have the ability to break complex issues into manageable pieces that function successfully in a high-pressure, quick-turnaround environment.

• Write a fully functioning piece of code in Python to support the various data-related workloads.

• Good understanding of Data warehousing, ELT, ETL, OLTP, and OLAP





• Build ETLs/ELTs to take data from various operational and transactional systems and create a unified dimensional or star schema data model for analytics, reporting and delivery.

• Take an active part in all aspects of development including participation in reviewing the work done by peers.

• Collaborate within and across multiple teams, as necessary.

• Solid cross-functional team player and demonstrate ability to coordinate application changes in a diverse and fast-paced work setting.

Requirements

Required Skills and Abilities:
• 1-2 years of relevant experience in working as a Data Engineer

• Experience working on data warehouse technical architectures, ETL/ELT, reporting/analytical tools, and data security

• Expert knowledge of developing data pipelines using Python.

• Experience working with different offerings in Snowflake (SnowSQL, SnowPipe, Bulk loading, Shares)

• Experience working with structured and semi-structured data

• Solid fundamental skills in data structures and algorithms

• Exposure to cloud

📌 SDE 1 - Data Engineer (Mumbai)
🏢 GIST Impact
📍 Mumbai