DATA ENGINEER I

TE Connectivity; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary package

Performance-based bonus plans

Employee stock purchase program

Health and wellness incentives

Job summary

TE Connectivity is seeking a Junior Data Engineer in Bengaluru to join the India analytics team. You will build and maintain data pipelines on Databricks, develop datasets for dashboards, and collaborate with BI analysts and stakeholders to ensure trusted data for self-service analytics and business reporting.

The role emphasizes Databricks, SQL, Python, data quality, and data product development, with exposure to AWS and data warehouses.

Qualifications

• Bachelor’s degree in CS/Data Eng/Data Science or related field.
• 0-3 years of experience in Data Engineering/BI/Analytics.
• Strong SQL knowledge and data validation.

Responsibilities

• Support design, development, testing, and maintenance of data pipelines on Databricks.
• Create datasets for reporting, analytics, dashboards, and performance tracking.
• Write SQL and Python for data transformation and automation.
• Assist in data quality checks and issue resolution.
• Collaborate with BI analysts, data product owners, and stakeholders.

Skills

SQL

Python

Git

Databricks

Cloud platforms

Data modeling

BI/Data visualization

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

AWS/Redshift

Power BI/Tableau

Job description

DATA ENGINEER I

Posting Start Date: 9/7/26

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 a motivated and detail-oriented Junior Data Engineer to join our India-based analytics team supporting the Channel Business Unit. This early-career role is designed for someone with a strong technical foundation who is eager to build practical experience in data engineering, Databricks, SQL, Python, data quality, and BI-ready data product development.

This role will support the development and maintenance of curated datasets, reporting tables, reusable data products, and data pipelines that enable faster and more reliable BI delivery across Channel BU. The Junior Data Engineer will work closely with senior data engineers, BI analysts, data product owners, governance teams, and business stakeholders to help prepare accurate, well-structured, and trusted data for dashboards, self-service analytics, and business performance reporting.

Roles & Responsibility:

Here's a shortened and rewritten version of the JD that should stay well under 4,000 characters while retaining the key responsibilities:

Databricks Data Engineering Support

• Support the design, development, testing, and maintenance of data pipelines and curated datasets on the Databricks platform.
• Develop and maintain datasets for reporting, analytics, dashboards, and business performance tracking.
• Use SQL, Python, and PySpark to transform, validate, and prepare data for analytics.
• Assist in troubleshooting data pipeline and reporting issues.
• Follow established development, testing, and release management standards.

BI Data Products & Reporting

• Build and maintain reusable datasets for Power BI, Tableau, and other analytics tools.
• Partner with BI analysts to understand reporting requirements, KPIs, and business rules.
• Create reporting tables, views, and data marts to support dashboard development.
• Validate data accuracy and ensure reporting outputs meet business needs.

Data Modeling & Data Quality

• Support the development of fact tables, dimension tables, reporting views, and curated data marts.
• Apply data modeling concepts such as star schema, keys, joins, dimensions, and measures.
• Perform data validation, reconciliation, and quality checks.
• Investigate and help resolve data discrepancies and reporting issues.
• Document data structures, business rules, and validation results.

Technical Development

• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Use Python or PySpark for automation and data processing.
• Develop maintainable and well-documented code.
• Participate in code reviews and follow engineering best practices.

Version Control & Cloud Technologies

• Use Git for version control and collaboration.
• Follow team processes for code reviews, releases, and documentation.
• Gain experience working within AWS-based data environments.
• Support validation and migration activities involving Amazon Redshift and Databricks.

Governance & Collaboration

• Follow data governance, security, and documentation standards.
• Support data lineage, metadata management, and access controls.
• Work closely with data engineers, BI analysts, product owners, and business stakeholders.
• Participate in requirements gathering, testing, and release activities.
• Communicate progress, challenges, and data-related issues effectively while contributing to a collaborative team environment.

Desired Candidate Profile:

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field.
• 0-3 years of experience in Data Engineering, BI, Analytics, Data Warehousing, or Software Development.
• Strong knowledge of SQL, including joins, aggregations, filtering, and data validation.
• Basic experience with Python for data processing, automation, or analytics.
• Working knowledge of Git and version control.
• Exposure to Databricks, cloud platforms, data warehouses, or analytics tools through work, projects, certifications, or internships.
• Understanding of data modeling concepts including fact tables, dimensions, keys, views, and reporting datasets.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience through internships, projects, or work with SQL, Python, Databricks, AWS, Redshift, Power BI, Tableau, or ETL processes.
• Databricks certification or related training.
• Exposure to AWS services and cloud data warehouses.
• Familiarity with PySpark and distributed data processing.
• Experience supporting reporting, dashboards, and data quality initiatives.
• Knowledge of commercial, sales, supply chain, inventory, marketing, or customer data domains.
• Master's degree is an advantage.

Skills & Competencies

Technical Learning

• Eagerness to learn modern data engineering tools and cloud technologies.

SQL & Python

• Ability to develop SQL queries and use Python for data transformation and automation.

Databricks & Cloud Platforms

• Interest in building expertise in Databricks, AWS, and modern analytics environments.

Data Quality

• Focus on accuracy, validation, reconciliation, and issue resolution.

BI & Analytics Support

• Understanding of reusable datasets for Power BI, Tableau, and self-service analytics.

Collaboration

• Strong communication and teamwork skills with engineers, analysts, and business stakeholders.

Ownership

• Self-motivated, accountable, and willing to learn while managing assigned responsibilities.

Success Measures

Success in this role will be measured by the ability to:

• Build and maintain trusted datasets for reporting and analytics.
• Develop reliable SQL and Python solutions.
• Support Databricks-based data engineering activities.
• Follow Git and development best practices.
• Improve data quality, documentation, and reporting reliability.
• Communicate progress, risks, and issues effectively.
• Expand technical expertise in Databricks, SQL, Python, AWS, and BI technologies

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 (https://www.linkedin.com/company/te-connectivity/) ,Facebook (https://www.facebook.com/teconnectivity/) ,WeChat, (http://www.te.com.cn/chn-zh/policies-agreements/wechat.html) Instagram andX (formerly Twitter). (https://twitter.com/TEConnectivity)

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

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road

Bangalore, Karnātaka 560076

India

Posting City: Bangalore

Job Country: India

Travel Required: None

Requisition ID: 157680

Workplace Type: Onsite

External Careers Page: Information Technology

TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.