Data Engineer

Candidate must be good in 
SQL
Pyspark
Data Modeling 

JD:
•    Attention to Detail: Meticulous attention to detail to ensure data security, accuracy and consistency. 
•    Communication Skills: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders clearly and concisely. 
•    Interpersonal Skills: Should be a good team player, and open for coordinate with offshore team
•    Experience: Proven experience as a Azure Data Engineer or in a similar role, with a strong portfolio of successfully implemented data solutions using Azure Stack (T-SQL, ADF, Pyspark, Lakehouse, DW, AML in Azure Fabric Environment)
•    Technical Proficiency: In-depth knowledge of ETL processes around ADF, Pyspark, OneLake, Databricks and newest features from Microsoft stack on Fabric. Secondary skills on Cosmos, Scope, Kusto, KQL.
•    Analytical Skills: Able to articulate the data understanding through the Data modeling, DAX and PBI reports
•    Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 
•    Cross-Functional Coordination: Coordinate with cross-functional teams to ensure cohesive data strategies and solutions. 
•    Regulatory Compliance: Ensure data architecture and management practices comply with relevant regulatory requirements and industry standards
•    Good to Have: Financial domain knowledge