Lennar

Data Engineer II

Lennar

full-time

Posted on:

Location Type: Office

Location: Irving • Florida • Texas • United States

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Tech Stack

AirflowAmazon RedshiftApacheAWSAzureBigQueryCassandraCloudDynamoDBEC2ETLGoogle Cloud PlatformHadoopHBaseJavaKafkaMongoDBNoSQLPythonScalaSparkSQL

About the role

  • Analyze large amounts of business data, solving real world problems, and developing metrics and business cases enabling Business Insights.
  • Design, implement and support analytical data infrastructure and knowledge of Modern Data Warehouse concepts.
  • Build and maintain efficient and scalable data pipelines and ETL processes.
  • Optimize data storage and retrieval methods for performance, scalability, and cost-efficiency.
  • Manage AWS resources including EC2, S3, Glue, Lambda, API’s, IAM, Cloud Watch.
  • Interface with other technology teams to extract, transform, and load data using SQL and AWS big data technologies.
  • Collaborate with Data Scientists and Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis.
  • Maintain internal reporting platforms/tools including troubleshooting and development.
  • Interact with internal users to establish and clarify requirements for report specifications.
  • Work with Engineering partners to shape and implement the development of BI infrastructure, including Data Warehousing and reporting.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.
  • AWS Glue, Lambda, S3, EC2, CloudWatch, Cloud Trail.
  • Dbt, Snowflake, SQL, Python, Qlik.
  • Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, or DynamoDB.
  • Strong programming skills in Python, Java, or Scala.
  • Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.
  • Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase.
  • Familiarity with data orchestration tools, such as Apache Airflow.
  • Experience with data versioning and testing tools, such as DVC and dbt.
  • Understanding of data security practices, including encryption, access controls, and data masking.
Benefits
  • Comprehensive array of benefits designed to enhance well-being and professional growth.
  • Robust health insurance plans, including Medical, Dental, and Vision coverage.
  • 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%.
  • Paid Parental Leave and Associate Assistance Plan for essential support.
  • 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.
  • Unique opportunities such as Everyone’s Included Day.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringETL processesSQLPythonNoSQLAWS GlueAWS LambdaAWS S3AWS EC2data warehousing
Soft Skills
collaborationproblem solvingcommunicationrequirements gatheringtroubleshooting