Data Engineer, LeaseTech
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Are you passionate about building robust data pipelines and integrations that power real estate technology at scale Do you want to work with AWS services like S3, Redshift, Lambda, and Glue to create seamless data flows across complex lease administration systems Are you excited about enabling automation, data governance, and AI readiness for a global real estate platform If you are a builder who thrives on solving data engineering challenges end to end, this is an excellent opportunity for you. Our ideal candidate is technically strong, detail oriented, collaborative, and driven to deliver high quality data solutions that enable better decision making across the organization.
Key job responsibilities
This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure data quality across all stages from ingestion to consumption. This opportunity requires strong technical skills in AWS data services, SQL, and pipeline orchestration, along with analytical, business intelligence, and problem solving abilities.
About the team
LeaseTech manages and supports Amazon's global real estate lease administration technology infrastructure, by providing standardized tools, training, and processes to ensure accurate lease accounting, payments, and reporting across business units and regions.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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Job ID: 153090125
Skills:
distributed architecture , object storage , Ksh, LINUX, Sql, ELT, Python, Etl, Airflow, CFT, Starburst, Trino
Skills:
snowflake , databricks, Pyspark, Sql, airflow
Skills:
AWS AI Services, scripting and automation, ETL methodologies, data pipeline architecture, cloud-based data storage and processing solutions, data quality assurance and validation techniques
Skills:
snowflake , Sql, Python, Gen AI, data engineering design patterns, Microsoft DevOps, Matillion, Streamsets
Skills:
Pyspark, Sql, Metadata Management, Data Governance, Python, Agile delivery methodologies, Data quality frameworks
