About the role
AI summarisedSenior Associate/Manager role in Data & Analytics within Technology Consulting, focusing on SAS data engineering. The role involves designing and implementing data solutions, leading teams, and advising clients on data strategy and architecture.
BusinessFull-timeGeneral
Key Responsibilities
- Design, develop, and maintain SAS-based data pipelines and analytics solutions.
- Lead and mentor junior data engineers and analysts.
- Collaborate with clients to understand business requirements and translate them into technical solutions.
- Implement data governance and data quality frameworks.
- Optimize data processing workflows for performance and scalability.
- Develop and maintain documentation for data architectures and processes.
- Support the integration of SAS with cloud platforms (AWS, Azure, GCP).
- Conduct code reviews and ensure adherence to best practices.
- Participate in pre-sales activities, including proposal development and client presentations.
Requirements
- 5-8 years of experience in data engineering or related field.
- Strong proficiency in SAS programming (Base SAS, SAS Macro, SAS/STAT).
- Proficiency in SQL and experience with relational databases.
- Experience with cloud data platforms (AWS, Azure, or GCP).
- Knowledge of data modeling, ETL processes, and data warehousing concepts.
- Experience with Python or R for data analysis.
- Familiarity with data visualization tools (Tableau, Power BI).
- Experience with big data technologies (Hadoop, Spark) is a plus.
- Excellent communication and stakeholder management skills.
- Ability to lead and work in a team-oriented environment.
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
- Relevant cloud certifications preferred (AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).