Snowflake Data Engineer
Jade Global Open At a glance
Mid-level Data Engineering role at Jade Global. Pune · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Use Snowflake and Python to turn raw data into useful outputs for BI work, guided by business needs and data models
- Build data models that define how organizational data is structured and how its elements relate
- Design integrations between systems, including ETL workflows, and protect data quality as it moves
- Create and maintain data pipeline architecture, using suitable ingestion methods and Snowflake capabilities
- Contribute to proposals and client presentations as part of business development work
What you bring
- At least five years working with Snowflake and Python, with hands-on Snowflake experience
- Four or more years in data preparation
- Strong Python or PySpark skills, including advanced Python features
- Working knowledge of a cloud platform such as AWS, Azure or GCP
Who this fits
This role suits an experienced data engineer who can work directly with clients, handle unclear problems and adapt to changing tools or processes. You’ll need to balance competing tasks, meet deadlines and communicate well with teammates and clients. Power BI and Oracle EBS module knowledge are additional advantages, not core requirements.
From the employer
Snowflake Data Engineer
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.
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).
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.
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