À propos
Data Engineer
Location :
New York (Hybrid)
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
Compétences linguistiques
- English
Avis aux utilisateurs
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