TE Connectivity Data Engineering Job Alerts 2026 :-
TE Connectivity is hiring candidates for the role of DATA ENGINEER I for the Bangalore, India locations. The complete details about TE Connectivity Data Engineering Job Alerts 2026 are as follows.
| Company Name:- | TE Connectivity |
| Required Education: | Bachelor’s degree |
| Required Skills: | Strong knowledge of SQL, including joins, aggregations, filtering, and data validation. Basic experience with Python for data processing, automation, or analytics. |
| Job category | Data Engineering |
| Job ID: | 157680 |
Qualifications
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.
Skills Required
Roles & Responsibility:
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.
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.
TE Connectivity Data Engineering Job Alerts 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
