Senior BI Analyst/Data Engineer

SUMMARY:
About Us:
We are dedicated to transforming the banking industry through innovative data solutions. As a leader in financial services, we strive to empower our clients with actionable insights that drive business decisions. We are looking for a talented BI Analyst/Data Engineer to join our dynamic team and contribute to our mission of delivering excellence in data analytics.

POSITION INFO:

Position Overview:

• Feature Store Development: Design, build, and maintain features in AWS feature stores to power data-driven models and solutions.
• Data Integration: Lead the integration of data between AWS (feature stores, data warehouses) and Salesforce, ensuring smooth and reliable data pipelines.
• Salesforce Expertise: Work with Salesforce Marketing Cloud, CRM, FSC and Data Cloud to build and maintain data solutions that align with marketing and client engagement strategies.
• Model Building: Develop and implement segmentation and other predictive models in Salesforce to optimize customer engagement, marketing campaigns, and client insights.
• Code Development: Write and maintain Python and SQL scripts to automate data extraction, transformation, and integration processes across AWS and Salesforce.
• Collaboration: Work closely with cross-functional teams including data engineers, marketing, and CRM stakeholders to ensure alignment between business objectives and technical solutions.
• Data Management: Ensure data quality, governance, and compliance across all platforms, working within the organization’s data architecture and security frameworks.
• Automation: Implement and enhance automation processes for data workflows between AWS and Salesforce.

• 5+ years of experience in data engineering, business intelligence, or a related field, preferably in the banking or financial services industry.
• Proven experience in building, managing, and scaling feature stores, particularly within AWS environment
• Hands-on experience with Salesforce Marketing Cloud, CRM, and Data Cloud.
• Data Analytics qualification or similar.

• Certification in AWS and/or Salesforce
• Familiarity with Salesforce Datorama and Einstein Analytics
• Understanding of AI/ML concepts and practical experience implementing AI-driven solutions.

• Proficiency in Python and SQL for data manipulation and process automation.
• Experience with AWS services such as S3, Redshift, Glue, and SageMaker.
• Ability to build segmentation models and other analytics solutions directly within Salesforce.
• Experience in integrating AWS with Salesforce, including building and maintaining data pipelines.
• Strong knowledge of AWS architecture, data warehousing, and related tools.