About this role
The team is seeking a Senior Advanced Data Engineer to play a crucial role in designing, developing, and optimizing data pipelines and architectures. You will collaborate closely with cross-functional teams to understand data requirements and ensure the efficient handling and analysis of large volumes of data. Your expertise in data engineering will be key in driving data-driven decision-making and improving operational efficiency within the organization.
Key Responsibilities:
- Design and implement scalable data pipelines and architectures.
- Collaborate with stakeholders to gather and analyze data requirements.
- Optimize data processing workflows for performance and reliability.
- Ensure data quality and integrity throughout the data lifecycle.
- Develop and maintain documentation for data processes and systems.
- Stay updated with industry trends and technologies to enhance data engineering practices.
Required Skills & Qualifications:
- Proficiency in data engineering tools and frameworks such as Apache Spark, Hadoop, or similar technologies.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with cloud platforms like AWS or Azure.
- Familiarity with SQL and NoSQL databases.
- Excellent problem-solving skills and attention to detail.
- Ability to work effectively in a team-oriented environment.
Experience:
- A minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on innovative projects in a dynamic environment.
- Collaborative and inclusive company culture.
- Professional development and growth opportunities.
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.