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SR. DATA ENGINEER Job Opening In singapore, Singapore – Now Hiring TE Connectivity


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

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.

We are on an exciting journey to build and scale our Data and Analytics (D&A) practice.

Job Responsibilities

  • Lead conversations with business or functional teams to understand its processes/tools/data and define/develop appropriate data acquisition methodologies for analytics projects.
  • Analyse data requirements, complex source data, data models, and determine the best methods in extracting, transforming, and loading the data into the data staging, warehouse, and other system integration projects.
  • Be 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.
  • Create master data files from disparate data sources by building data pipelines.

    Develop and test architecture for data extraction.

  • Perform functional and stress testing on data models and ETL jobs to ensure that design is optimized for performance, scale, and reusability.
  • Develop and deploy ETL job workflow with reliable error/exception handling and rollback.
  • Develop and maintain database solutions, optimizing storage and retrieval for high-performance machine learning applications.
  • Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning.
  • Support the full-stack development team with integration of machine learning models into the web applications.
  • Document test cases results and implementation steps.
  • Ensure data quality throughout entire ETL process, including audits and feedback loops to sources of truth.

  • Create or update technical documentation for transition to support teams.
  • Job Requirements

    Education/Experience

  • 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

  • AWS Cloud Certifications is strongly preferred.

    Ability to obtain one after joining team is required.
  • Experience in working with engineering teams
  • Strong interpersonal and communication skills
  • Visualization tool experience, especially with Tableau
  • Experience in working with data scientists
  • Ability to work independently in a fast-paced environment
  • Willing to flex daily work schedule to allow for time-zone differences for global team communications.
  • Ability to work with multiple projects and work streams at one time.

    Must be able to deliver results based upon project deadlines.
  • Strong problem-solving capabilities.

    Results oriented.

    Relies on fact-based logic for decision-making.
  • Competencies

    Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your SR DATA Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TE Connectivity adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Singapore laws and regulations

    What Is the Average Salary Range for SR. DATA ENGINEER Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for SR. DATA ENGINEER?

    Key qualifications for SR. DATA ENGINEER typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for SR. DATA ENGINEER Job Success

    TE Connectivity interview tips for SR. DATA ENGINEER

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    Before the Interview:

    Research: Learn about the TE Connectivity's mission, values, products, and the specific job requirements and get further information about

    Other Openings

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    By following these tips, you can increase your chances of making a positive impression and landing the job!

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