Sr Data Engineer

We are Lennar 

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.

Join a Company that Empowers you to Build your Future

A Sr. Data Engineer is an experienced professional responsible for leading the development of complex data architectures. The role involves mentoring junior engineers, designing large-scale data solutions, and ensuring the reliability of data infrastructure. This position requires expertise in data engineering practices and a proactive approach to problem-solving.

• A career with purpose.

• A career built on making dreams come true.

• A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team 

• 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.

• Configure and setup systems for rapid development and deployment using industry best practices.

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), version control or change data techniques and administration. 

• 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 Microsoft Fabric (preferred), Snowflake, AWS EMR, Azure HDInsight, or Google Dataflow.

• Experience with data streaming technologies, such as Data Explorer, Apache Kafka, Apache Flink, or Amazon Kinesis, for real-time data processing.

• Implementation knowledge of data and delta lake architectures, data warehousing, data integration techniques, eventhouse, warehousing and open source formats.

• Expert in data pipeline orchestration tools, such as Azure Data Factory, 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).

• Microsoft SQL Server, Azure, Microsoft Fabric, Snowflake, Event Architecture

• Azure Data Factory,  Fabric Pipelines , DBT

• SQL, Python, Java, PySpark notebooks,C#.net, KQL

• Excellent ability to convey complex ideas to both technical and non-technical audiences.

• Demonstrates advanced problem-solving skills, tackling complex issues with innovative solutions.

• AWS, Snowflake, Azure

• Models ethical behavior and decision-making, fostering a culture of trust within the team.

• Thrives in high-pressure situations, maintaining effectiveness and composure.

• Cham