Position Overview:We are seeking a highly skilled Senior BI/Data Engineer to join our dynamic team.
In this role, you will be responsible for designing, developing, and optimizing our business intelligence and data engineering processes.
You will play a critical role in transforming raw data into actionable insights, enabling data-driven decision-making across the organization.Key Responsibilities: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 organizations data architecture and security frameworks.Automation: Implement and enhance automation processes for data workflows between AWS and Salesforce.Qualifications: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 environmentHands-on experience with Salesforce Marketing Cloud, CRM, and Data Cloud.Data Analytics qualification or similar.Certifications:Certification in AWS and/or SalesforceFamiliarity with Salesforce Datorama and Einstein AnalyticsUnderstanding of AI/ML concepts and practical experience implementing AI-driven solutions.Technical Skills: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.If you are passionate about leveraging data to drive business success and meet the qualifications above, we would love to hear from you!
Please Apply Now!