Data Architect
Remote-EST work hours
Long term
Client: Gavs-Community Behavioral Health
Remote-EST work hours
Long term
Qualifications
- B.S. or M.S. in Computer Science, or equivalent.
- 15+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting.
- 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with:
- Relational/SQL distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Parquet, Avro, and more extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse.
- Highly skilled in SQL, Python, Spark, Azure Data Lake, GCP Storage, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools - SQL stores: SQL Server (SQL, stored proc, …)
- Data Exchange Architecture and Processing: Spark, Pub/Sub Streaming data ETL/ELT: Matillion, Five Tran, dbt, Data Lake and Data Warehouse: Snowflake, Azure Synapse, Big Query, Redshift, Databricks
- Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Ranger, Presto, Tableau, Kubernetes, and Docker
- Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with Azure, AWS, GCP
- Strong verbal and written communications skills are a must and work effectively across internal and external organizations and virtual teams.
- Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies.
- Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem
- Deep knowledge of data structures and algorithms.
- Experience in working in large teams using CI/CD and agile methodologies.
Thanks
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