Azure Data Engineer- Finance Analytics (Finance)

Job Summary

Job Description

Data Architect  / Modeler

Job Summary

The candidate should have a robust background in data modeling and ETL (Extract, Transform, Load) processes. The candidate should have essential hands-on experience with Advanced SQL and python. Proficiency in building Data Lake and pipelines using Azure is highly desirable. Additionally, knowledge and experience in Finance domain , MS Fabric Implementation and holding Azure certifications, are considered a plus.

Development Responsibilities

• Responsible for working with Finance and IT teams to design and implement data solutions. This includes responsibility for the method and processes used to translate business needs into functional and technical specifications.

• Design, develop, and maintain robust data models and ETL pipelines.

• Develop logical data models and physical database designs applied across multiple computing environments.

• Responsible for building new Data Lake in Azure, expanding and optimizing our data platform and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

• Responsible for designing and developing solutions in Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Fabric

• Write efficient and scalable SQL queries to extract and manipulate data.

• Develop and maintain Python scripts for data processing and automation.

• Troubleshoot and resolve data-related issues and provide support for escalated technical problems.

• Ensure Data Accuracy and Integrity in financial data management and Reporting

Process Improvement

• Ensure data quality and integrity across various data sources and systems.

• Maintain quality of data in the warehouse, ensuring integrity of data in the warehouse, correcting any data problems

• Participate in code reviews and contribute to best practices for data engineering.

• Ensure data security and compliance with relevant regulations and best practices.

• Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise. Ensure design meets the requirements

Education

Bachelor's degree in computer science, Information Technology, or a related field.

Relevant Work Experience

• 3-5 years of experience in software engineering, with a focus on data engineering.

• Strong experience in data modeling and ETL processes.

• Advanced Hands-on SQL and Python knowledge and experience working with relational databases for data querying and retrieval.

• Knowledge and experience of building data lake and enterprise analytics solutions with Microsoft Azure, including Azure Data Factory, Azure SQL Database and other Azure services.

Nice to have

• Data Modeling tools (e.g. Erwin, Visio) knowledge

• Experience with SAP HANA data modelling

• Exposure to MS Fabric implementation

• Knowledge and experience with other cloud platforms like AWS and Google.

• Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are highly desirable.

• Experience with Power BI / Tableau for reporting and data visualization.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

• Ability to work independently and as part of a team.
• Proven experience in financial data analysis and reporting

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

$100,360.00 - $150,800.00 Annual

The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

Every day, we're focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what's right to delivering business results, together, we're better. Explore our Diversity, Equity and Inclusion page here.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.