Our Client, a Real Estate and Financial Services company, is looking for a Python / Pyspark developer for their McLean, VA location.
Responsibilities :
- The Senior Developer will be part of the Client Enterprise Risk Business Technology Office. This role will be responsible for supporting our organization’s data-driven initiatives, specifically designing and building a data warehouse solution. This position requires strong experience in data analysis, modeling and engineering with the ability to translate complex technical issues into easily understood communications that will influence executive audiences with varied technical backgrounds and capabilities.
Requirements :
Bachelor’s degree in computer science, information technology or related field; advanced studies / degree preferred.years’ extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake / Mart / Warehouse, Databases SQL / NoSQL (DB, Mongo, Postgres),Big Data Technologies (Spark or PySpark), ETL (Informatica, Talend), REST API, Integration / EAI technologies like Informaticayears’ experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python.years working with SaaS platforms such as Snowflake, Collibra, Mongo / MongoDB Atlas,Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies.Exposure to Full stack enterprise application development(Agular, Spring Boot, Automation testing using Selenium)years’ experience in a logical / physical data modeling, data architecture, data analysis, and data management roleExperience with different query languages such as PL / SQL, T-SQL, and ANSI SQLExperience with database technologies such as DB, PostgreSQL, SnowflakeKnowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data martAbility to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and interpersonal skillsPython, Pyspark, SQL Agile practices. Preferred, Snowflake and informaticaWhy Should You Apply?
Excellent growth and advancement opportunities