Description

You will design and maintain data graphs derived from Data 360, managing transitions from retiring teams and re-mapping backend sources to serve internal consumers.

This role is on-site.

Responsibilities

• Build and manage batch and real-time data pipelines using Airflow and MuleSoft.
• Develop custom ETL workflows using Python and Informatica.
• Implement data transformation and modeling with dbt in Snowflake.
• Integrate Salesforce platforms, including Flows and Apex, into data architectures.
• Ensure data quality, monitoring, and orchestration across distributed systems.

Required Skills

• 5+ years of experience in data engineering and data architecture.
• Strong proficiency in SQL with Snowflake and relational databases.
• Hands-on experience with ETL tools, preferably Informatica.
• Expertise in Python for custom data modules.
• Experience with Salesforce platforms and data models.
• Familiarity with AWS or GCP and event-driven architectures.
• Understanding of data modeling, warehousing, and big data processing.

Preferred Skills

• Experience with Salesforce Flows and Apex.
• Knowledge of data graph technologies.

Key Skills

Education

Any Graduate