About this role
The team is seeking a Senior Staff member in IT Data Engineering and Analytics to join their dynamic team. This role is pivotal in connecting clients to markets through innovative data solutions and analytics. The ideal candidate will have a strong background in data engineering, analytics, and a passion for leveraging data to drive business decisions.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and architectures.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven insights.
- Implement data governance and quality control measures to ensure data integrity.
- Utilize advanced analytics techniques to extract meaningful insights from large datasets.
- Mentor junior team members and provide technical guidance on best practices in data engineering.
Required Skills & Qualifications:
- Proven experience in data engineering and analytics, with a strong understanding of data warehousing concepts.
- Proficiency in programming languages such as Python, SQL, or Java.
- Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
- Strong analytical and problem-solving skills, with the ability to communicate complex data concepts to non-technical stakeholders.
- Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
Experience:
- 5-8 years of relevant experience in IT data engineering and analytics, with a track record of successful project delivery.
What we offer:
- A collaborative work environment that values innovation and creativity.
- Opportunities for professional development and career advancement.
- The chance to work with a diverse team of talented professionals dedicated to excellence.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.