Data Engineer
Job Description
Strong experience in building SAP and non SAP Data Analytics solutions
Proficient in Data modelling, data analysis and data profiling
Strong Conceptual, Logical and Physical data modelling for Cloud Data warehouse
Hands on experience working with any of the following data platforms like Redshift, Databricks, Big query, Synapse & snowflake.
Responsibilities Duties:
Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation.
Collaborate with Data Architects for data model management, documentation, and version control.
Maintain expertise and proficiency in the various application areas
Maintain current knowledge of industry trends and standards
Key Skills:
Bachelor’s degree in computer science, Engineering, or relevant fields with 10+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.
8+ years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics
Experiance Qualifications:
3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB
AWS Solutions Architect Professional Level certifications
Extensive experience in data analysis on critical enterprise systems like SAP, SFDC etc
Benefits:
training, health, insurance, commuting support, lunch service etc