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Tools in this posting

python
sql
aws
databricks
redshift
tableau

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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.

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.

- 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.

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.

Technical Development - Write and optimize SQL queries for data extraction, transformation, and analysis. - Use Python or PySpark for automation and data processing.

- 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.

- 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.

- Gain experience working within AWS-based data environments. - Support validation and migration activities involving Amazon Redshift and Databricks. Governance & Collaboration

- 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.

- 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.

- 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.

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.

- 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.

- Databricks certification or related training. - Exposure to AWS services and cloud data warehouses. - Familiarity with PySpark and distributed data processing.

- Exposure to AWS services and cloud data warehouses. - Familiarity with PySpark and distributed data processing. - Experience supporting reporting, dashboards, and data quality initiatives.

- 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.

SQL & Python - Ability to develop SQL queries and use Python for data transformation and automation. Databricks & Cloud Platforms

- 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.

Databricks & Cloud Platforms - Interest in building expertise in Databricks, AWS, and modern analytics environments. Data Quality

BI & Analytics Support - Understanding of reusable datasets for Power BI, Tableau, and self-service analytics. Collaboration

- Build and maintain trusted datasets for reporting and analytics. - Develop reliable SQL and Python solutions. - Support Databricks-based data engineering activities.

- Develop reliable SQL and Python solutions. - Support Databricks-based data engineering activities. - Follow Git and development best practices.

- Communicate progress, risks, and issues effectively. - Expand technical expertise in Databricks, SQL, Python, AWS, and BI technologies Competencies

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Bangalore, KA, IN, 560076

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Posting history

Status in our records: Active
First seen by us: Sep 7, 2026
Recorded sightings: 9
Last seen by us: Sep 8, 2026

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Skills in this posting

pythonsqlawsdatabricksredshifttableaupyspark

Job description

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

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, 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.