Azure Data Engineer with Java Experience

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Azure Data Engineer with Java Experience

Nashville TN

Onsite role

Job Description:

• The ideal candidate will have 4-7 years of experience in data engineering, with expertise in Azure Cloud, Azure Functions, SQL/PLSQL, Python, and Power BI.

Key Responsibilities:

• Data Engineering: Utilize your expertise in Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction) to build and maintain robust data solutions using SQL/PLSQL (Oracle), Python, and Power BI with strong knowledge of the SDLC are required. Build and manage dozens of data pipelines to source and transform data based on business requirements. Java experience is preferred but not required.
• Financial Data Analysis: Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
• Innovation and Learning: Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements. Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month's time.
• Client Collaboration: Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management. Manage multiple stakeholder groups and their requirements.
• Team Collaboration: Collaborate within a Pod of 4+ data engineers, working towards common objectives in a consultative fashion with clients.
• Data Movement and Transformation: Use Azure Data Factory, Azure Functions and SQL (PL/SQL as well) for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.
• Industry Leadership: Work with a client that is leading the industry in using data to drive business decision optimization and investment management strategies.

Requirements:

• Experience: 4-7 years of experience in data engineering.

Technical Skills:

• Proficiency Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction).

Proficiency in the following areas:

• Data Warehousing: Strong knowledge of data warehousing concepts.
• Python: Advanced skills in Python programming for data engineering and data pipelines.
• Data Integration: Proficiency in integrating data from various sources using API and file-based extraction.
• Data Platforms: Strong knowledge of relational databases and data warehouse/data lakes.
• Data Security: Expertise in securing data in transit and in rest.
• Data Pipelines: Experience in building and managing data pipelines using Azure Data Factory.
• Azure: Experience Azure data services such as Azure Data Factory, Azure Functions, Azure Data Lake storage.
• GitHub: Proficiency in using GitHub for version control.
• Java: Adequate level experience in Java
• Power BI: Adequate level experience in Power BI
• Domain Expertise: Nice to have experience in financial data analysis, risk, and compliance data management.
• Learning Agility: Ability to quickly learn new technologies by applying current skills.

Adaptability: Ability to adapt to new technologies quickly and efficiently