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Data Scientist Data Engineer - Gauteng, Johannesburg

Job Specification: Technical SME with SAS Experience

Position: Technical SME (Data Engineering & Consultancy)

Location: Remote from South Africa (USA, UK, and Europe)
Client: Global Financial Services Organization
Employment Type: Full-Time / Contract

Overview

We are seeking a highly experienced Data Engineer and Technical Consultant with a proven track record in delivering robust and scalable solutions, specifically within the financial services industry.

The ideal candidate will have a broad technical skill set spanning multiple tools and programming languages, coupled with strong interpersonal skills, enabling effective cross-functional collaboration. The role requires designing, coding, testing, and documenting technical solutions, while ensuring high-quality standards and adherence to deadlines.

Key Responsibilities

Serve as the Technical Subject Matter Expert (SME) on complex data engineering and analytics projects.
Design, develop, and implement high-performance data solutions, leveraging expertise in SAS and other technologies.
Consult and collaborate with global stakeholders to translate business requirements into scalable technical solutions.
Mentor and support team members, providing guidance on best practices and technical problem-solving.
Develop documentation for all technical work, ensuring comprehensive records and technical manuals.
Work on projects involving data extraction, transformation, and loading (ETL), as well as complex data integration and analysis.
Act as the primary technical liaison between business stakeholders and development teams, ensuring effective communication and delivery.
Ensure adherence to data governance, quality, and compliance standards, specifically tailored for the financial sector.

Technical Skill Set

SAS: Advanced proficiency in SAS programming, SAS Enterprise Guide, and SAS Data Integration Studio.
Data Integration: Expertise in ETL processes and tools, such as Informatica, SSIS, or Talend.
Programming Languages: Skilled in Python, SQL, R, and Java, with the ability to pivot between languages based on project needs.
Data Modelling: Experience in dimensional and relational data modeling, along with schema design (e.g., star and snowflake schemas).
Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or GCP; knowledge of cloud-based data warehousing (e.g., Redshift, Snowflake).
Data Visualization: Proficient with visualization tools like Tableau, Power BI, or SAS Visual Analytics.
Version Control & Collaboration: Experience using Git, Bitbucket, and collaboration tools like JIRA and Confluence.

Data & Analytical Expertise

Skilled in statistical modeling, data mining, and predictive analytics using SAS, Python, and R.
In-depth understanding of financial data structures and regulatory reporting requirements (e.g., Basel III, IFRS 9).
Hands-on experience with large-scale data warehousing and data lake.
Adept at developing and managing data pipelines, with a focus on automation and optimization.

Years of Experience

12+ years of experience in data engineering and technical consulting, with a focus on the financial services industry.
At least 8 years of SAS programming experience, including complex data manipulation and analysis.
5+ years of experience in cloud-based data engineering and advanced analytics.
Demonstrable success in leading technical projects for global clients across the USA, UK, and Europe.

Personal Qualities

Dependable and delivery-focused professional with a strong ability to achieve objectives within tight deadlines.
Conscientious and self-motivated, with a commitment to continuous learning and development.
Resourceful problem-solver who can navigate complex challenges and deliver high-quality outcomes.
Excellent interpersonal and communication skills, enabling effective mentoring and stakeholder engagement.
Proven ability to work autonomously in a remote, multi-cultural environment while maintaining high standards of collaboration.

Preferred Qualifications

Master's degree in Data Science, Computer Science, Finance, or a related field.
Relevant industry certifications such as SAS Certified Advanced Programmer, AWS Certified Data Analytics, or Azure Data Engineer Associate.

Why Join Us?

Global Exposure: Work with a leading financial services organization, interacting with stakeholders across the USA, UK, and Europe.
Cutting-edge Projects: Engage in high-impact projects that leverage the latest in data engineering and analytics technologies.
Collaborative Culture: Join a team of experts who value knowledge sharing and continuous improvement.

If you are a highly skilled Data Engineer and Technical Consultant looking to make an impact within a dynamic, global team, we encourage you to apply!

Desired Skills:

SAS
AWS
AZURE

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