Roles: Senior Data Engineer Data Modeler / Architect
Location: Remote
Duration: 6 Months
Scope of Work
- Collaborate with the Data Modeler team to model and map data as required by defined use cases
- Build unified data graphs based on requests from internal consumers
- Manage and maintain existing data graphs
Required Skills & Qualifications
- Strong experience in data engineering ETL (preferably Informatica) and data architecture
- Experience working with Salesforce platforms and data models
- Hands-on experience with Airflow and MuleSoft
- Strong SQL skills with Snowflake and other relational databases
- Experience writing complex Python modules for custom ETL workflows
- Expertise in building batch and real-time data pipelines
- Experience with dbt for data transformation and modeling
- Familiarity with AWS/GCP and distributed/event-driven architectures
- Strong understanding of data modeling data warehousing and big data processing
- Experience with data quality monitoring and pipeline orchestration frameworks
- Ability to work closely with Product Data Science and Analytics teams
- Experience working on Salesforce Flows and Apex is a plus
Roles: Senior Data Engineer Data Modeler / Architect Location: Remote Duration: 6 Months Scope of Work Collaborate with the Data Modeler team to model and map data as required by defined use cases Build unified data graphs based on requests from internal consumers Manage and maintain existing data ...
Roles: Senior Data Engineer Data Modeler / Architect
Location: Remote
Duration: 6 Months
Scope of Work
- Collaborate with the Data Modeler team to model and map data as required by defined use cases
- Build unified data graphs based on requests from internal consumers
- Manage and maintain existing data graphs
Required Skills & Qualifications
- Strong experience in data engineering ETL (preferably Informatica) and data architecture
- Experience working with Salesforce platforms and data models
- Hands-on experience with Airflow and MuleSoft
- Strong SQL skills with Snowflake and other relational databases
- Experience writing complex Python modules for custom ETL workflows
- Expertise in building batch and real-time data pipelines
- Experience with dbt for data transformation and modeling
- Familiarity with AWS/GCP and distributed/event-driven architectures
- Strong understanding of data modeling data warehousing and big data processing
- Experience with data quality monitoring and pipeline orchestration frameworks
- Ability to work closely with Product Data Science and Analytics teams
- Experience working on Salesforce Flows and Apex is a plus
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