Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Design and implement enterprise-scale Data Lake and Lakehouse architecture.
Develop scalable ETL/ELT pipelines for data ingestion and transformation.
Design, develop, and evaluate scalable data warehouse solutions and data models.

From the employer’s posting

Responsibilities Design and implement enterprise-scale Data Lake and Lakehouse architecture. Develop scalable ETL/ELT pipelines for data ingestion and transformation.

Design and implement enterprise-scale Data Lake and Lakehouse architecture. Develop scalable ETL/ELT pipelines for data ingestion and transformation. Design, develop, and evaluate scalable data warehouse solutions and data models.

Develop scalable ETL/ELT pipelines for data ingestion and transformation. Design, develop, and evaluate scalable data warehouse solutions and data models. Build enterprise data warehouses using Amazon Redshift, Snowflake, or equivalent cloud data warehouse technologies.

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in computer science, IS, Data Engineering, Data Science, or a related field.
8 - 10 years of overall experience in Data Engineering.
8+ years of hands-on experience building cloud-native data platforms on AWS.
5+ years of hands-on experience with Databricks and Delta Lake.
Strong proficiency in SQL & Python & experience in optimizing complex queries & data pipelines.
Ability to lead technical discussions and architectural decisions.

Qualification wording

Bachelor’s degree in computer science, IS, Data Engineering, Data Science, or a related field.

8 - 10 years of overall experience in Data Engineering.

8+ years of hands-on experience building cloud-native data platforms on AWS.

5+ years of hands-on experience with Databricks and Delta Lake.

Strong proficiency in SQL & Python & experience in optimizing complex queries & data pipelines.

Ability to lead technical discussions and architectural decisions.

Tools in this posting

Python
SQL
AWS
Databricks
Delta
Redshift
Snowflake
Spark
PySpark

Source

- Strong analytical, problem-solving skills, Excellent communication & stakeholder management. - Strong proficiency in SQL & Python & experience in optimizing complex queries & data pipelines. - Ability to lead technical discussions and architectural decisions.

- Build enterprise data warehouses using Amazon Redshift, Snowflake, or equivalent cloud data warehouse technologies. - Demonstrate strong proficiency in SQL for data transformation, optimization, and performance tuning. - Develop and optimize distributed data processing solutions using Apache Spark (PySpark).

- Ability to lead technical discussions and architectural decisions. - Performance optimization mindset with experience tuning Spark jobs and SQL workloads. - Experience working in Agile/Scrum environments.

At TE we strongly believe that data and analytics are strategic drivers for future success. We are building a world class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business The Analytics team at TE is part of the Aerospace Defense Marine BU (ADM) Organization and is responsible for driving organic growth by leveraging big data and advanced analytics. We are on an exciting journey to build and scale our advanced analytics practice. TE is looking for a Senior Data Lake Developer that has experience in building data lake architectures using AWS and related technologies. In this position you will apply your skills to manage the existing cloud data platform to make it more scalable, reliable, and cost efficient. You will also work on additional projects that would leverage the existing architecture in some cases and use newer technologies where needed

- 8 - 10 years of overall experience in Data Engineering. - 8+ years of hands-on experience building cloud-native data platforms on AWS. - 5+ years of hands-on experience with Databricks and Delta Lake.

- Databricks Certified Developer (Associate level or higher). - AWS Certification (Associate level or higher) is highly desirable. Competencies

- 8+ years of hands-on experience building cloud-native data platforms on AWS. - 5+ years of hands-on experience with Databricks and Delta Lake. - Strong analytical, problem-solving skills, Excellent communication & stakeholder management.

We Value - Databricks Certified Developer (Associate level or higher). - AWS Certification (Associate level or higher) is highly desirable.

- Design, develop, and evaluate scalable data warehouse solutions and data models. - Build enterprise data warehouses using Amazon Redshift, Snowflake, or equivalent cloud data warehouse technologies. - Demonstrate strong proficiency in SQL for data transformation, optimization, and performance tuning.

- Demonstrate strong proficiency in SQL for data transformation, optimization, and performance tuning. - Develop and optimize distributed data processing solutions using Apache Spark (PySpark). - Coordinate with business and technical teams throughout all phases of the Software Development Life Cycle (SDLC).

Job description

View original posting ↗

Job Posting Title: SR. DATA ENGINEER

Job Code: 30005310

Segment: INDUSTRIAL SOLUTIONS (50127625)

Business Unit: AEROSPACE DEFENSE & MARINE (50117066)

Building: TE Services India (KN1)

Band/Level: 5

Recruiter: Sneha PG

Education Experience: Other

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

At TE we strongly believe that data and analytics are strategic drivers for future success. We are building a world class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business The Analytics team at TE is part of the Aerospace Defense Marine BU (ADM) Organization and is responsible for driving organic growth by leveraging big data and advanced analytics.

We are on an exciting journey to build and scale our advanced analytics practice. TE is looking for a Senior Data Lake Developer that has experience in building data lake architectures using AWS and related technologies.

In this position you will apply your skills to manage the existing cloud data platform to make it more scalable, reliable, and cost efficient. You will also work on additional projects that would leverage the existing architecture in some cases and use newer technologies where needed

Responsibilities

Design and implement enterprise-scale Data Lake and Lakehouse architecture.
Develop scalable ETL/ELT pipelines for data ingestion and transformation.
Design, develop, and evaluate scalable data warehouse solutions and data models.
Build enterprise data warehouses using Amazon Redshift, Snowflake, or equivalent cloud data warehouse technologies.
Demonstrate strong proficiency in SQL for data transformation, optimization, and performance tuning.
Develop and optimize distributed data processing solutions using Apache Spark (PySpark).
Coordinate with business and technical teams throughout all phases of the Software Development Life Cycle (SDLC).

Troubleshoot, debug, and resolve technical issues related to data engineering solutions.
Participate in major technical and architectural design decisions.
Mentor and guide junior engineers while promoting engineering best practices.

Qualifications

Bachelor’s degree in computer science, IS, Data Engineering, Data Science, or a related field.
8 - 10 years of overall experience in Data Engineering.
8+ years of hands-on experience building cloud-native data platforms on AWS.
5+ years of hands-on experience with Databricks and Delta Lake.
Strong analytical, problem-solving skills, Excellent communication & stakeholder management.
Strong proficiency in SQL & Python & experience in optimizing complex queries & data pipelines.
Ability to lead technical discussions and architectural decisions.
Performance optimization mindset with experience tuning Spark jobs and SQL workloads.
Experience working in Agile/Scrum environments.

We Value
- Databricks Certified Developer (Associate level or higher).
- AWS Certification (Associate level or higher) is highly desirable.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on careers.te.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Bangalore, KA, IN, 560076

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Open source at careers.te.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 11, 2026
Recorded sightings: 583
Last seen by us: Oct 8, 2026

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