Supply Chain Analyst - Data Engineering
Bangalore, KA, IN, 560076
TE Connectivity
TE connectors and sensors are embedded in many types of technological devices, where reliable and persistent data, power, signal, and sensing connectivity are required.
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
- Foster effective collaboration with diverse teams across various functions and regions.
- Collect and analyze large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes.
- Develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance.
- Assist in the development and implementation of supply chain strategies that align with business objectives.
- Identify and suggest solutions to potential supply chain risks and challenges.
- Build data models and perform data mining to discover new opportunities and areas of improvement.
- Conduct data quality checks to ensure accuracy, completeness, and consistency of data sets.
What your background should look like:
- 5+ years of hands-on experience in Data Engineering within the supply chain domain.
- Proficiency in Azure Data Engineering technologies, including but not limited to:
- ETL processes
- Azure Data Warehouse (DW)
- Azure Databricks
- MS SQL
- Strong expertise in developing and maintaining scalable data pipelines, data models, and integrations to support analytics and decision-making
- Experience in optimizing data workflows for performance, scalability, and reliability.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, TeamworkABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Databricks Data Mining Data pipelines Data quality Data warehouse Engineering ETL Industrial MS SQL Pipelines SQL
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