Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. Within IBM Consulting, Asset Engineering Services is a group who build software products and repeatable solutions to accompany and support multiple consulting and services engagements across different clients.
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Asset Engineering is looking for a talented Python Developer with a strong background in SQL server and experience in both data processing and database management to join our growing team. You will be working with one of our biggest products supporting Talent Acquisition in the HR space. In this role, you will be responsible for developing efficient Python applications and scripts, working with SQL Server databases for data extraction, manipulation, and analysis. Familiarity with data science libraries is a plus, as is experience with cloud platforms like IBM Cloud or Microsoft Azure.
Your Role and Responsibilities
- Develop and maintain Python applications for data processing, automation, and analysis.
- Write, optimize, and maintain SQL queries on SQL Server databases for ETL processes.
- Work with cross-functional teams to develop robust data solutions, integrating data sources and optimizing data pipelines.
- Use data science libraries (e.g., pandas, NumPy) to process and analyze data, providing insights and support for analytics needs.
- Leverage IBM Cloud or Microsoft Azure for deploying or managing data applications in the cloud.
- Troubleshoot database performance issues and optimize SQL queries for scalability and efficiency.
Required Technical and Professional Expertise
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 3+ years of experience with Python, with a strong proficiency in SQL Server.
- Solid understanding of relational databases, data modeling, and database query optimization.
- Experience with data processing libraries like pandas and NumPy.
- Strong analytical and problem-solving skills with an eye for detail.
Preferred Technical and Professional Expertise
- Experience with cloud platforms (IBM Cloud or Microsoft Azure).
- Familiarity with serverless functions in Azure (Azure Functions) using Python. Experience with Microsoft SQL Server.
- Experience with build tools like Jenkins. Experience with Angular for front-end development.