MANAGER DATA ENG
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 Lead the design, development, and implementation of data architectures, data pipelines, and data systems
Manage a team of data engineers and provide technical guidance and mentorship
Collaborate with cross-functional teams, business partners, stakeholders including c-suite to understand business requirements, promote best practice & trade-offs, and to provide solutions that meet the organization's goals
Develop and maintain Data as an asset
Optimize data processes for efficiency, reliability, and scalability
Act as a Subject Matter Expert to the organization for end-to-end data pipeline
Operate large-scale data warehouse solutions and big data platforms
Stay up-to-date with emerging technologies, trends, and best practices in data engineering.What your background should look like:
Overall 10
years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions)
5
years of experience in leading global technical team and managing senior level stakeholders
Strong hands-on experience in data architecture, data modeling, Could data engineering and ETL processes.
Accomplished in scaling teams, managing multiple geographic locations, and inspiring a team to deliver high quality projects using Cloud and on-premises platforms
Expertise in dealing with data environments with high-data variability, and high-data volumes
Expertise in integrating data pipeline from various systems like SAP, MES, Salesforce, Clickstream, Chatbot and External unstructured Data leveraging various ingestion patterns
Demonstrated ability to build consensus among many stakeholders
Excellent communication skills and ability to interact with all levels of end users and technical resources
Ability to manage multiple projects and priorities in a fast-paced environment
We Value
AWS certification
Prior working experience with SAP HANA, SAP BW or other tools compatible with SAP ERP environments
Having prior experience with one or more SAP ERP functional module
Prior experience using SAP BOBJ or Tableau or other Viz tools
Prior experience working with Data Scientists and MLOPS teamsEducation
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.CompetenciesValues: Integrity, Accountability, Teamwork, InnovationSET : Strategy, Execution, Talent (for managers)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 more than 85,000 employees, including more than 7,500 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on LinkedIn, Facebook, WeChat and Twitter.COMPENSATION
Competitive base salary commensurate with
Experience: $143,920 215,880 (subject to change dependent on physical location)
Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
Total Compensation = Base Salary
Incentive(s)
BenefitsBENEFITS
A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.EOE, Including Disability/VetsEstimated Salary: $20 to $28 per hour based on qualifications.
Manage a team of data engineers and provide technical guidance and mentorship
Collaborate with cross-functional teams, business partners, stakeholders including c-suite to understand business requirements, promote best practice & trade-offs, and to provide solutions that meet the organization's goals
Develop and maintain Data as an asset
Optimize data processes for efficiency, reliability, and scalability
Act as a Subject Matter Expert to the organization for end-to-end data pipeline
Operate large-scale data warehouse solutions and big data platforms
Stay up-to-date with emerging technologies, trends, and best practices in data engineering.What your background should look like:
Overall 10
years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions)
5
years of experience in leading global technical team and managing senior level stakeholders
Strong hands-on experience in data architecture, data modeling, Could data engineering and ETL processes.
Accomplished in scaling teams, managing multiple geographic locations, and inspiring a team to deliver high quality projects using Cloud and on-premises platforms
Expertise in dealing with data environments with high-data variability, and high-data volumes
Expertise in integrating data pipeline from various systems like SAP, MES, Salesforce, Clickstream, Chatbot and External unstructured Data leveraging various ingestion patterns
Demonstrated ability to build consensus among many stakeholders
Excellent communication skills and ability to interact with all levels of end users and technical resources
Ability to manage multiple projects and priorities in a fast-paced environment
We Value
AWS certification
Prior working experience with SAP HANA, SAP BW or other tools compatible with SAP ERP environments
Having prior experience with one or more SAP ERP functional module
Prior experience using SAP BOBJ or Tableau or other Viz tools
Prior experience working with Data Scientists and MLOPS teamsEducation
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.CompetenciesValues: Integrity, Accountability, Teamwork, InnovationSET : Strategy, Execution, Talent (for managers)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 more than 85,000 employees, including more than 7,500 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on LinkedIn, Facebook, WeChat and Twitter.COMPENSATION
Competitive base salary commensurate with
Experience: $143,920 215,880 (subject to change dependent on physical location)
Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
Total Compensation = Base Salary
Incentive(s)
BenefitsBENEFITS
A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.EOE, Including Disability/VetsEstimated Salary: $20 to $28 per hour based on qualifications.
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