Data Engineer II
Core
Design, build, and maintain scalable data pipelines and analytical infrastructure to process large volumes of structured and unstructured data for business insights.
Role type
Data Engineer
Builds
Data pipelines, ETL processes, and analytical data infrastructure
Domain
Real Estate / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, AWS (Glue, Lambda, S3, EC2, CloudWatch), Snowflake, dbt, Apache Spark, CI/CD
Preferred skills
NoSQL databases (MongoDB, Cassandra, DynamoDB), Data orchestration (Apache Airflow), Data versioning (DVC), Cloud platforms (Azure, GCP)
Technologies
AWS, Snowflake, dbt, Apache Spark, Apache Airflow, Qlik, MongoDB, Cassandra, DynamoDB, Redshift, Synapse, BigQuery
Responsibilities
Design and implement modern data warehouse concepts; Optimize data storage and retrieval methods; Manage AWS resources; Interface with technology teams to extract, transform, and load data; Collaborate with Data Scientists and BI Engineers; Maintain internal reporting platforms; Write advanced SQL queries and Python code; Align AI initiatives with organizational goals.
Seniority
Mid-level (3-5 years experience)
