DATA ENGINEER I

Job Description

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Job Title

DATA ENGINEER I

Posting Start Date

102326

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 Description

Job Overview We are seeking an entry-level Data Engineer I to join the Information Technology function within the Data Engineering & Architecture job family. This role is designed for a 2026 graduate with a bachelors degree in Artificial Intelligence and Machine Learning or a closely related discipline. The position will support the design development testing and operation of reliable data pipelines and curated data products used for analytics reporting and AIML solutions. The ideal candidate combines strong programming and SQL fundamentals with curiosity structured problem-solving attention to data quality and a willingness to learn modern cloud data engineering practices in a collaborative environment.

Roles & Responsibility

Assist in developing testing deploying and monitoring batch and near-real-time data pipelines under the guidance of senior data engineers and architects.

Ingest transform and integrate structured and semi-structured data from databases files APIs enterprise applications and cloud platforms.

Write clear efficient and maintainable SQL and Python code for data extraction transformation validation and automation.

Support the creation of reusable ETLELT components data models and curated datasets for analytics reporting and AIML use cases.

Implement data quality checks covering completeness validity consistency uniqueness and timeliness investigate and help resolve data issues.

Prepare clean label and version datasets required for machine-learning experimentation and model lifecycle activities.

Work with data scientists analysts application teams and business stakeholders to understand data requirements and translate them into technical tasks.

Create and maintain technical documentation source-to-target mappings data dictionaries lineage information operating procedures and support notes.

Use version control code reviews testing and CICD practices to deliver reliable and traceable data engineering changes.

Assist with operational monitoring incident analysis root-cause identification and continuous improvement of pipeline performance and reliability.

Follow enterprise requirements for data security privacy access control retention and responsible use of data and AI.

Continuously build knowledge of data engineering cloud services data architecture analytics and AIML technologies.

What should your background look like

Bachelors degree in Artificial Intelligence & Machine Learning Computer Science Data Science Information Technology or a related engineering discipline graduating in 2026.

Strong academic or project-based foundation in Python and SQL including data structures object-oriented programming query design joins aggregations and performance basics.

Understanding of relational databases data warehousing concepts dimensional modeling normalization and ETLELT fundamentals.

Working knowledge of data-processing libraries such as pandas and NumPy along with basic familiarity with scikit-learn or equivalent ML frameworks.

Exposure through coursework internship certification hackathon or projects to at least one cloud platform such as Microsoft Azure Amazon Web Services or Google Cloud Platform.

Familiarity with Git or another version-control system and basic understanding of software development unit testing and CICD practices.

Basic knowledge of data formats and interfaces such as CSV JSON Parquet REST APIs and file-based data exchange.

Awareness of distributed data-processing or orchestration technologies such as Apache Spark Databricks Airflow Azure Data Factory or equivalent tools is preferred.

Understanding of data quality metadata data lineage security privacy and responsible AI principles.

Demonstrated ability to learn quickly analyze problems logically communicate clearly and collaborate effectively in a team.

Academic project internship or portfolio demonstrating an end-to-end data pipeline data platform analytics solution or ML data preparation workflow is preferred.

Candidates should be able to explain their individual contribution to academic internship or portfolio projects and the engineering decisions made.

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 90000 employees including 10000 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 onLinkedIn 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.comcareers 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.

Job Locations

Posting City

bangalore

Job Country

India

Travel Required

None

Requisition ID

161077

Workplace Type

Hybrid

External Careers Page

Information Technology

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