Data Engineer

LEAD DATA ENGINEER

Job Posting Title: LEAD DATA ENGINEER  
Band/Level: 5-1-C 
Education Experience: Bachelors Degree (High School +4 years)  
Employment Experience: 7-10 years  

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

Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team. Contributes to the team's development velocity, if necessary. Understands how an organization's data platform integrates within the overall technical architecture. Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems. Sets the direction and establishes the approach for integrating information applications and programs.

Roles & Responsibilities

• Design, develop, and maintain data lakes and data pipelines on AWS using ETL frameworks and Databricks.
• Integrate and transform large-scale data from multiple heterogeneous sources into a centralized data lake environment.
• Implement and manage Delta Lake architecture using Databricks Delta or Apache Hudi.
• Develop end-to-end data workflows using PySpark, Databricks Notebooks, and Python scripts for ingestion, transformation, and enrichment.
• Design and develop data warehouses and data marts for analytical workloads using Snowflake, Redshift, or similar systems.
• Design and evaluate data models (Star, Snowflake, Flattened) for analytical and transactional systems.
• Optimize data storage, query performance, and cost across the AWS and Databricks ecosystem.
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and Python-based data processing scripts.
• Collaborate with data scientists, analysts, and stakeholders to deliver high-performance, reusable data assets.
• Maintain and manage code repositories (Git) and promote best practices in version control, testing, and deployment.
• Participate in making major technical and architectural decisions for data engineering initiatives.
• Monitor and troubleshoot Databricks clusters, Spark jobs, and ETL processes for performance and reliability.
• Coordinate with business and technical teams through all phases of the software development life cycle.

Desired Candidate

• 5+ years of experience building and managing Data Lake Architecture on AWS Cloud
• 3+ years of experience with AWS Data services such as S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift.
• 3+ years of experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, or Exasol.
• 3+ years of hands-on experience working with Apache Spark or PySpark, on Databricks.
• 3+ years of experience implementing Delta Lakes using Databricks Delta or Apache Hudi.
• 3+ years of experience in ETL development using Databricks, AWS Glue, or other modern frameworks.
• Proficiency in Python for data engineering, automation, and API integrations.
• Experience in Databricks Jobs, Workflows, and Cluster Management.
• Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation is a plus.
• Bachelor’s degree in computer science, Information Technology, Data Science, or related field.
• Experience working on Agile projects and methodology in general.
• Strong SQL, RDBMS, and data modeling skills.
• Experience with Databricks Unity Catalog, Delta Live Tables (DLT), and MLflow for data governance and model lifecycle.
• AWS or Databricks Cloud Certifications (e.g., AWS Data Analytics Specialty, Databricks Certified Data Engineer Professional) are a big plus.
• Understanding data security, access control, and compliance in cloud environments.
• Strong analytical, problem-solving, and communication skills.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, 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 enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

 

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

•    Competitive Salary Package
•    Performance-Based Bonus Plans
•    Health and Wellness Incentives
•    Employee Stock Purchase Program
•    Community Outreach Programs / Charity Events
•    Employee Resource Group

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

 

Experience Level

Senior Level