SR. DATA ENGINEER

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SR. DATA ENGINEER

8/10/26

Job Posting Title: SR. DATA ENGINEER Job Code: 30005310 Segment: INDUSTRIAL SOLUTIONS (50127625) Business Unit: [[businessUnit]] 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.

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