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The Snowflake Data Engineer will design and maintain data pipelines using Snowflake, collaborating with teams to enhance data solutions while ensuring data governance and compliance.
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Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.
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Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.
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Responsibilities
· Participate in the migration of Datastage jobs to Snowpark. Reverse engineer the logic of existing Datastage jobs and translate them accurately into Snowpark.
· Perform thorough unit testing of developed Snowpark code to ensure functionality and data quality.
· Use airflow for orchestration of Snowpark jobs
· Perform unit testing and parallel run testing, comparing the output of migrated Snowpark jobs with the original Datastage jobs using production data in the development environment.
· Document developed code and processes as required.
· Work remotely and effectively within the India Time Zone.
Qualifications
Required Skills and Experience
· Bachelor's degree in Computer Science, Engineering, or a related field.
· 5 yrs of experience in Snowflake and 24 months experience in Snowpark
· Experience in Airflow
· Experience with Snowflake on Azure
· Experience with at least one ETL/ELT tool (Datastage experience is a significant plus).
· Solid understanding of SQL and data warehousing concepts.
· Familiarity with scripting languages such as Python.
· Ability to understand and translate existing data processing logic.
· Strong problem-solving and analytical skills.
· Excellent communication and collaboration skills, comfortable working in a remote team environment.
· Ability to work independently and manage tasks effectively within deadlines.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.


