Snowflake Data Engineer
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Before you apply
LocationPune, Maharashtra; Hyderabad, Telangana
Typefull-time
SenioritySenior
Experience5+ yrs
Company size1,001–5,000 people
PostedMay 18, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience in Snowflake and Python
4+ years in data preparation
BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python
Designing and creating data models that define the structure and relationships of various data elements within the organization
Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly
Create and maintain optimal data pipeline architecture
Good knowledge of cloud platforms like AWS/Azure/GCP
Good hands-on knowledge of Snowflake is a must
Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities
Good knowledge of Python/Py Spark, advanced features of Python
Support business development efforts (proposals and client presentations)
Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
Excellent leadership and interpersonal skills
Eager to contribute to a team-oriented environment
Strong prioritization and multi-tasking skills with a track record of meeting deadlines
Ability to be creative and analytical in a problem-solving environment
Effective verbal and written communication skills
Adaptable to new environments, people, technologies, and processes
Ability to manage ambiguity and solve undefined problems
Knowledge of Power BI is added advantage
Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage
Skills
Snowflake
Python
Power BI
AWS
Azure
GCP
PySpark
EBS
Finance
HCM
Procurement
Snowflake Data Engineer3
Snowflake Data Engineer
Requirements
Overall Experience : 5+ years of experience in Snowflake and Python. Knowledge of Power BI is added advantage
Experience of 4+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.
Responsibilities
Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.
Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.
Create and maintain optimal data pipeline architecture.
Good knowledge of cloud platforms like AWS/Azure/GCP
Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities
Good knowledge of Python/Py Spark, advanced features of Python
Support business development efforts (proposals and client presentations).
Nice to have
Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage.
Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.
Excellent leadership and interpersonal skills.
Eager to contribute to a team-oriented environment.
Strong prioritization and multi-tasking skills with a track record of meeting deadlines.
Ability to be creative and analytical in a problem-solving environment.
Effective verbal and written communication skills.
Adaptable to new environments, people, technologies, and processes
Ability to manage ambiguity and solve undefined problems.