Data Engineer developing data solutions for major UK consumer brands. Collaborating with the Product & Technology team to meet diverse data requirements.
About the role
- Sr. Data Engineer at Lennar responsible for designing high-performance data architectures and mentoring junior engineers. Focused on implementing robust data solutions and collaborating with cross-functional teams.
Responsibilities
- Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data
- Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes
- Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning
- Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms
- Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals
- Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team
- Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting
- Implement data governance frameworks, including data lineage, metadata management, and data quality standards
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- 5-7 years of experience in data engineering or a related role, with a proven track record of delivering scalable data solutions
- Advanced SQL skills, including query optimization, indexing strategies, and data modeling techniques (e.g., star and snowflake schemas)
- Expertise in programming languages such as Python, Java, or Scala, with experience in developing complex data processing algorithms
- In-depth knowledge of cloud data services and big data technologies, such as Snowflake, AWS EMR, Azure HDInsight, or Google Dataflow
- Experience with data streaming technologies, such as Apache Kafka, Apache Flink, or Amazon Kinesis, for real-time data processing
- Strong understanding of data lake architectures, data warehousing, and data integration techniques
- Proficiency in data pipeline orchestration tools, such as Apache Airflow, Prefect, or Dagster, for managing complex workflows
- Knowledge of data security frameworks and compliance standards (e.g., GDPR, HIPAA) and their application in data engineering
- Experience with DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and containerization (e.g., Docker, Kubernetes)
Benefits
- robust health insurance plans, including Medical, Dental, and Vision coverage
- 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- up to $30,000 in Adoption Assistance
- up to three weeks of vacation annually
- generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- significant Home Purchase Discounts
- Everyone’s Included Day
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