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Data Analytics Engineer

2 months ago

Randburg, Gauteng, South Africa OneConnect Full time

We empower our clients with actionable insights that drive business decisions through innovative data solutions.

As a Senior BI Analyst/Data Engineer, 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 organization's 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 environment
  • Hands-on experience with Salesforce Marketing Cloud, CRM, and Data Cloud.
  • Data Analytics qualification or similar.

Certifications:

  • 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.

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.

We are looking for a talented BI Analyst/Data Engineer to contribute to our mission of delivering excellence in data analytics.

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.