Snowflake developer

Role: Snowflake developer data engineer

Location: Downtown Chicago - Hybrid

Direct client

Job Description

Key Responsibilities: Data Integration: Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.
Support Data Modeling: Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.
Data Pipeline Development: Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
Reporting Support: Collaborate with data architect to ensure the data within Snowflake is structured in a way that supports efficient and insightful reporting.
Technical Documentation: Create and maintain comprehensive documentation of data pipelines, ETL processes, and data models to ensure best practices are followed and knowledge is shared within the team.

Additional Skills & Qualifications

Tools and Skillsets: Data engineering: proven track record of developing and maintaining data pipelines and data integration projects
Databases: Strong experience with Oracle, Snowflake, and Databricks.
Data Integration Tools: Proficiency in using Kafka and CDC tools for data ingestion and synchronization.
Orchestration Tools: Expertise in Airflow for managing data pipeline workflows.
Programming: Advanced proficiency in Python and SQL for data processing tasks.
Data Modeling: Understanding of data modeling principles and experience with data warehousing solutions.
Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.
Collaboration Tools: Experience with version control systems (like Git) and collaboration platforms.
CI/CD Implementation: Utilize CI/CD tools to automate the deployment of data pipelines and infrastructure changes, ensuring high-quality data processing with minimal manual intervention.
Communication: Excellent communication and teamwork skills, with a detail-oriented mindset. Strong analytical skills, with the ability to work independently and solve complex problems.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.