Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Analytics
Apache Spark
Big Data
Cloud Computing
Data Modeling
Data Processing
Data Warehouse
Databricks
Design Patterns
ELT
Extract
Transform
Load
Finance
Investment Banking
Microsoft Azure
PL/SQL
PySpark
Python
RESTful
Regulatory Compliance
Reporting
SQL
Job Details
Role: Senior Azure Data Engineer with Strong Data Modeling and SQL (Investment Banking exp)
Location: Weehawken NJ (ONSITE) (F2F Interview is MUST)
Contract: Long Term
Exp: 9 Years
Job Description: Senior Azure Data Engineer Investment Banking
- Design and implement scalable data solutions using ADLS, Azure Synapse Analytics, and Azure Databricks to support high-volume financial data processing and analytics.
- excellent hands on / programming skills on big data analytics azure cloud & on-prem technologies - spark, python, azure synapse, data factory , azure databricks.
- Develop and optimize data models for structured and semi-structured financial datasets, ensuring performance, accuracy, and compliance with investment banking standards.
- Build robust ETL pipelines using Azure Data Factory and PySpark to automate ingestion, transformation, and validation of data from diverse sources including Oracle, SQL Server, and cloud-native platforms.
- Engineer RESTful APIs and Python-based frameworks to expose curated datasets for downstream consumption by analytics and reporting teams.
- understanding of data modelling, data warehousing principles and lakehouse architecture.
- advanced working knowledge of sql with experience in dwh / etl implementation and understand the etl/elt design patterns.
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