Senior Data Engineer
Senior
Azure Data Factory
Azure Synapse Analytics
Big Data
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
ETL
Information Technology (IT)
Microsoft Azure
Programming Language
Programming Languages
SQL
Job Description
This onsite role in Cincinnati, OH offers a salary range of USD 133,000 – 158,000 per year and a discretionary annual incentive program. As a Senior Data Engineer at Deloitte, you will build applications and data pipelines for enterprise retail data processing within Deloitte's Project Delivery Model, delivering development and ongoing client support services.
Responsibilities
- Work on applications and data pipelines related to supplier, store, item, buyer workflow, quote/request/approval tracking, and enterprise retail data processing.
- Provide development expertise with the following: Azure Data Factory, Azure Databricks, PySpark, SparkSQL, Azure Data Lake, SQL Azure, Synapse Analytics, Event Hub, AKS, Oracle RPAS, RMS, and Harness CI/CD pipelines.
- Provide development and support services to the client.
Requirements
- Minimum 2 years of relevant experience
- Bachelor's degree
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Technologies
- Azure Data Factory
- Azure Databricks
- PySpark
- SparkSQL
- Azure Data Lake
- SQL Azure
- Synapse Analytics
- Event Hub
- AKS
- Oracle RPAS
- RMS
- Harness CI/CD pipelines
Benefits
- Discretionary annual incentive program