Data Engineer

• The candidate must have experience with the following: • PySpark, Python, SQL • Snowflake or any large data warehouse • Any RDBMS and NoSQL databases • Experience with IICS or other ETL tools, Collibra, and understanding of data modeling are preferred. Additionally, experience with working with ServiceNow databases are also preferred. • Experience with Selenium is nice to have. Must Have Qualifications: Python, PySpark, SQL Agile practices Preferred: Snowflake and Informatica Qualifications: • Bachelor’s degree in computer science, information technology or related field; advanced studies/degree preferred. • 5 years of 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 of 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 (Angular, Spring Boot, Automation testing using Selenium). • 5 – 7 years of 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.