Data Engineer

Role:  Data Engineer  
Location: New York (Hybrid)
Note: Looking for female candidates and only GC/ USC are accepted.

Skills – Apptio, Big Data, ETL-Big Data/Data Warehousing, MS SQL, Oracle PL/SQL, Stored Proc Coding, Python, PySpark, Node/Node.JS, RDBMS, Data Analytics
Job Description 
* Individual contributor to an SDLC life cycle based agile team
* Data Engineering Export - Concept, Strategy and end to end data as a product/service philosophy
* Expert in Python
* Capable of devising ETL pipelines using Python from scratch
* Expert Airflow and understands how to develop DAGs
* Expert in Spark and Pyspark
* Willing to learn new cloud-based business apps and tools
* Hands on proficiency and expert-level knowledge in at least one object-oriented programming language in C, C++ Or Java
* Deep knowledge in RDBMS concepts and data engineering as a concept and service(data warehousing, data lakes and master data management)
* Expert at analyzing and developing queries in SQL in various dialects (SQL Server,DB2, Oracle)
* Hands on experience in manipulating databases via DML code packages, stored procedures, triggers and materialized views
* Hands on experience in developing reports and dashboards using tools such as Qlik, Tableau or Power BI
* Hands on experience in integrating two systems to process data through various channels (SOAP, Rest, ETL and SSIS)
* Hands on experience with Node Js and JSON
* Ability to independently write efficient and reusable code for ETL pipelines
* Expert in data modelling concepts such as schemas and entity relationship