What are the responsibilities and job description for the Senior Full Stack Developer position at Jobs via Dice?
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Senior Full Stack Developer
6 Months contract Later hire (CTH)
McLean , VA On-site M-F
Interview Type: Virtual and In-Person required
Must Have Qualifications:
Senior Full Stack Developer
6 Months contract Later hire (CTH)
McLean , VA On-site M-F
Interview Type: Virtual and In-Person required
Must Have Qualifications:
- Data Engineer
- Python
- Pyspark
- SQL
- Understanding of Agile practices.
- Preferred Snowflake and Informatica.
- The Senior Developer will be part of the Client s Enterprise Risk Business.
- 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.
- Bachelor s degree in computer science, information technology or related field; advanced studies/degree preferred.
- 5 years extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake/Mart/Warehouse, Databases SQL/NoSQL (DB2, Mongo, Postgres), Big Data Technologies (Spark or PySpark), ETL (Informatica, Talend), REST API, Integration/EAI technologies like Informatica
- 3 years experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python.
- 3 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)
- 5-7 years experience in a logical/physical data modeling, data architecture, data analysis, and data management role
- Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL
- Experience with database technologies such as DB2, PostgreSQL, Snowflake
- Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts
