About this role
The team is seeking a Lead Java Spark to join their Data Commerce Solutions group. In this role, you will build and take ownership of the design and development of data engineering projects. You will leverage your extensive knowledge and expertise throughout the entire data engineering lifecycle while collaborating closely with various stakeholders to ensure alignment on common goals.
Key Responsibilities:
- Lead large-scale data engineering initiatives and integration projects.
- Design and implement robust data processing frameworks using Java and Apache Spark.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Optimize data pipelines for performance and scalability.
- Mentor and guide junior team members in best practices and technical skills.
- Ensure data quality and integrity throughout the engineering process.
Required Skills & Qualifications:
- Proficient in Java and Apache Spark with hands-on experience in data engineering.
- Strong understanding of data architecture, ETL processes, and data warehousing concepts.
- Experience with cloud platforms such as AWS or Azure.
- Familiarity with SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- 5-8 years of relevant experience in data engineering or software development.
What we offer:
- Opportunity to work on innovative projects in a dynamic environment.
- Collaborative team culture with a focus on professional growth and development.
- Access to the latest tools and technologies in the data engineering space.
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.