sr. data engineer

3 weeks ago


Makati City, National Capital Region, Philippines TE Connectivity Full time
Job Overview

At TE, you'll have the chance to work with a variety of people and industries, aiming to create a safer, more sustainable, and connected world.

TE Connectivity's Data Architecture and Analysis Teams are in charge of database and data architecture design services, conducting needs assessments and performance monitoring/tuning, and identifying business opportunities for data storage and retrieval system capabilities.

Data and analytics play a crucial role in TE's success. We're developing a top-notch advanced analytics team to tackle complex strategic issues and drive growth and efficiencies. This team falls under the TE Information Solutions (TEIS) Organization and collaborates with key stakeholders in the company.

TE is seeking a Data Engineer to join our journey of enhancing our advanced analytics practice. The ideal candidate should have a proven track record in designing and implementing ETL solutions to support data warehouse and advanced analytics capabilities. Success in this role requires blending strong data engineering expertise with business acumen to deliver scalable data solutions for Self Service and Advanced Analytics efficiently.

The Data Engineer will be responsible for defining ROI, designing and implementing data solutions, and collaborating with various teams to ensure successful project delivery.

Job Responsibilities
  • Design and develop ETL solutions following best practices for Next Generation Analytics platform
  • Analyze data requirements, source data, and data models to determine the best methods for data extraction, transformation, and loading
  • Utilize deep knowledge of on-prem & cloud ESB architecture to meet scalability, reliability, security, and performance requirements
  • Document ETL and data warehouse processes
  • Manage data administration tasks such as job scheduling, troubleshooting, and performance tuning
  • Develop, test, and adapt ETL code to accommodate changes in data sources
  • Create technical documentation for support teams
  • Implement automated data audit and validation processes
  • Provide technical leadership for data platform design, architecture, integration, and support
  • Manage automation of file processing and ETL workflows
  • Adhere to development standards and procedural practices
  • Communicate innovative ideas and solutions effectively
  • Collaborate with team members and work independently to deliver high-performing solutions
  • Participate in testing and design review sessions
  • Ensure data quality throughout the ETL process
Job Requirements
  • 6+ years of Data Engineering experience in ETL design, development, optimization & testing using PL/SQL, SAP Data Services (BODS) or Talend
  • 5+ years of experience in PL/SQL, SQL Tuning, Stored Procedures, Data Warehousing best practices
  • 3+ years of experience in relational and Cloud database design and optimization with AWS, SAP HANA, BW, Oracle, and Hadoop
  • 3+ years of experience in developing Realtime and streaming process flows
  • 2+ years of experience in designing SOA, RESTful APIs, and EAI solutions using MuleSoft Platform
  • 2+ years of experience with CI/CD tools like Jenkins, GIT, Java, and Shell scripting
  • Strong problem-solving skills and results-driven attitude
  • Ability to manage multiple projects simultaneously and meet deadlines
  • Flexible working schedule for global team collaboration
  • Strong interpersonal and communication skills
Competencies

Values: Integrity, Accountability, Teamwork, Innovation



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