TE Connectivity
3 weeks ago
About TE Connectivity :
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions, proven in the harshest environments, enable advancements in transportation, industrial applications, medical technology, energy, data communications and the home. With approximately 80,000 employees, including more than 7,500 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at
Job Overview :
TE Connectivity's Data Engineer are responsible for developing, optimizing, and standardizing data assets/new projects which add value to our company. Our Data Engineer carry a unique position whereby they are involved in all aspects of the data assets development process from gathering requirements, preparing data to final reporting using Data Visualization techniques or working with Front-End developers.
Working as a Data Engineer in TE means exposure to the business in working with key stakeholders in addition to diving deep into technical work, with the goal to continually add value and help to strengthen the team. Data Engineer is working closely with Business Intelligence Analyst to deliver project with expected business values and is working with other Data Engineer teams to deliver expected data assets from internal and external vendors.
Responsibilities include :
- Work closely with Business Intelligence Analysts and Stakeholders to identify reporting needs, metrics, data assets and systems.
- Support the modeling and creation of datasets using AWS Infrastructure (Glue, Lambda), Python, SQL to be then used for self-service dashboard reports.
- Build knowledge about all the datasets inside the data lake to be able to provide guidance to other engineers and/or stakeholders
- Streamline data preparation and processes for maximum automation and efficiency whilst supporting environment migrations where required
- Analyze, organize, segment, and disseminate raw or unprocessed data based on business needs.
- Be the key anchor for data extraction, preparation, and hosting processes.
- Create master data files from disparate data sources by building data pipeline
- Develop and test architecture for data extraction
- Provide continuous connectivity to a master data source and access to refreshed data
- Ensure data quality and reliability
- Data expert for datasets
Qualifications and skills required :
- 3+ years of Data Engineering experience in ETL design, development, optimization & testing using SQL, Python, AWS Services (Lambda, Glue, Redshift, S3)
- 3+ Complex SQL Tuning, Stored Procedures, Data Warehousing best practices etc.
- 3+ years of experience in relational or Cloud database design, optimization, and performance; preferably with AWS Redshift/Aurora, SAP HANA, and Oracle.
- Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
- Experience with creation of solution, project documentation
- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
- Willingness to flex daily work schedule to allow for time-zone differences for global team communications.
- Strong interpersonal and communication skills.
We value :
- Experience in business domains - supply chain, pricing, sales & marketing, sales, finances
- Data Engineering & AWS Cloud Certifications
- Experience with advanced analytical algorithms like AI, ML
- CI/CD knowledge
- Works with Jira/Confluence/SNOW
- Experience in Agile methodology
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