Senior Data Engineer

2 months ago

Singapore TE Connectivity Full time

Data Engineering Role at TE Connectivity


The Data and AI teams at TE are part of the TE Information Solutions (TEIS) Organization and Corporate Technology and are responsible for driving organic growth by leveraging Data and AI.


As a Data Engineer at TE, you will be part of an exciting journey to build and scale our Data and Analytics (D&A) practice.


Your key responsibilities will include:

  • Leading conversations with business or functional teams to understand its processes/tools/data and define/develop appropriate data acquisition methodologies for analytics projects.
  • Analysing data requirements, complex source data, data models, and determining the best methods in extracting, transforming, and loading the data into the data staging, warehouse, and other system integration projects.
  • Being the key anchor for data extraction, preparation and hosting processes representing the engineering teams. Data expert for engineering datasets used by data scientists working on various use cases.
  • Creating master data files from disparate data sources by building data pipelines. Developing and testing architecture for data extraction.
  • Performing functional and stress testing on data models and ETL jobs to ensure that design is optimized for performance, scale, and reusability.
  • Developing and deploying ETL job workflow with reliable error/exception handling and rollback.
  • Developing and maintaining database solutions, optimizing storage and retrieval for high-performance machine learning applications.
  • Managing foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning.
  • Supporting the full-stack development team with integration of machine learning models into the web applications.
  • Documenting test cases results and implementation steps.
  • Ensuring data quality throughout entire ETL process, including audits and feedback loops to sources of truth.
  • Creating or updating technical documentation for transition to support teams.

Requirements


To be successful in this role, you will need:

  • B.S/M.S. in Computer Science or Computer Engineering or related field.
  • 5+ years of experience building data models on Snowflake, Redshift, HANA, Teradata, Exasol etc
  • 5+ years of experience working on any ETL tools and technologies.
  • 3+ years of experience working in a cloud environment, AWS preferred.
  • 5+ Years of Experience in any programming language (Python, R, Scala, Java)
  • Proficiency with modern software development methodologies such as Agile, source control, CI/CD, project management and issue tracking with JIRA
  • Basic Knowledge of supervised and/or Unsupervised learning, feature engineering, generative-AI models, model training and deployment is plus but not necessary


We value strong interpersonal and communication skills, experience in working with engineering teams, and ability to work independently in a fast-paced environment.

Competencies


We value Integrity, Accountability, Inclusion, Innovation, Teamwork, and a strong problem-solving capabilities. Results-oriented, relies on fact-based logic for decision-making.

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