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
About The Employer:
– Entrepreneurial
– High Innovation
– Be part of some
Employer & Job Benefits:
- Structured according to needs