Snowflake Data Engineer

4 weeks ago


Chicago, United States Stash Talent Services Full time

Role:- Snowflake Data Engineer

Location:- Hybrid in Chicago, IL

Duration:- 12 month contract


Job Description

Responsibilities:

Data Integration and Synchronization: - Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.

Platform Migration: - Lead the strategic planning and execution of migrating existing in-house data platforms to cloud, ensuring minimal disruption and data integrity.

Data Modeling for Snowflake and Databricks: - Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics.

Data Pipeline Development: - Architect and implement data pipelines using Airflow and Python.

Analytics and Reporting: - Utilize Snowflake and Databricks for advanced reporting and analytics, providing actionable business insights.

Collaboration and Innovation: - Work with cross-functional teams to understand data needs and deliver technical solutions, mentoring on best practices.


Additional Skills & Qualifications

Tools and Skillsets:

Data Architecture: - Demonstrated experience in migrating on-premises data to cloud and setting up stable, scalable frameworks

Databases: Proficiency in Oracle, Snowflake, and Databricks.

Data Integration: Experience with Kafka and CDC tools for real-time data synchronization.

ETL Tools: Expertise in Airflow for data pipeline orchestration.

Programming: Advanced proficiency in Python for data processing and automation.

Data Modeling: Strong understanding of data modeling techniques and experience in designing scalable data models for cloud data warehouses.

Reporting Tools: Familiarity with BI tools and technologies for creating reports and dashboards.

Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.

Project Management: Experience in leading large-scale data migration and platform integration projects.

Communication: Excellent verbal and written communication skills for effective collaboration across teams. Strong analytical, problem-solving, and team management skills.


Top Skills - Must Haves

  • Snowflake
  • Oracle
  • Python
  • Sql
  • Azure
  • Databricks
  • ADF
  • Airflow
  • Kafka


Top Skills' Details

  • This is a "hands on" Sr Snowflake Engineering role with some Architecture experience required.
  • Snowflake
  • Oracle / Database
  • Kafka


Secondary Skills - Nice to Haves

  • ETL
  • CDC
  • Cloud
  • BI Tools

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