Data Engineer

Qualifications

• Experience with the following: PySpark, Python, SQL
• Snowflake or any large data warehouse
• Any RDBMS and No
  
  SQL databases
• Experience with IICS or other ETL tools, Collibra, and understanding of data modeling are preferred. Additionally, experience with Service Now databases are also preferred.
• Experience with Selenium is nice to have.

Must Have

Qualifications:

Python, PySpark, SQL, Agile practices

Preferred: Snowflake and Informatica

Additional 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/No
  
  SQL (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/Mongo
  
  DB 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, Postgre
  
  SQL, Snowflake.
• Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting

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