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Logistics Data Analyst III

hace 2 meses


Hermosillo, Sonora, México TE Connectivity A tiempo completo
About the Role

We are seeking a highly skilled Data Engineering Specialist to join our team at TE Connectivity. As a key member of our data engineering team, you will be responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.

Key Responsibilities
  • Design and Develop ETL Solutions: Design and develop ETL solutions using data warehouse design best practices for Next Generation Analytics platform.
  • Analyze Data Requirements: Analyze 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.
  • Business Requirements Analysis: Analyze business requirements and outline solutions.
  • Cloud ESB Architecture: Have deep working knowledge of on-prem & cloud ESB architecture to address the client's requirements for scalability, reliability, security, and performance.
  • Technical Assistance: Provide technical assistance in identifying, evaluating, and developing systems and procedures.
  • Documentation: Document all ETL and data warehouse processes and flows.
  • ETL Job Workflow: Develop and deploy ETL job workflow with reliable error/exception handling and rollback.
  • Data Administration: Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with Database backups and performance tuning.
  • ETL Code Development: Design, Develop, Test, Adapt ETL code & jobs to accommodate changes in source data and new business requirements.
  • Technical Documentation: Create or update technical documentation for transition to support teams.
  • Data Audit and Validation: Develop automated data audit and validation processes.
  • Senior Technical Leadership: Provides senior technical leadership to design, architecture, integration and support of the entire data sourcing platform with a focus on high availability, performance, scalability and maintainability.
  • Automation: Manage automation of file processing as well as all ETL processes within a job workflow.
  • Standards and Practices: Develop, Contribute and adhere to the development of standards and sound procedural practices.
  • Communication: Proactively communicate innovative ideas, solutions, and capabilities over and above the specific task request.
  • Team Collaboration: Effectively communicate status, workloads, offers to assist other areas.
  • Testing: Perform and coordinate unit and system integration testing.
  • Design Review: Participate in design review sessions and ensure all solutions are aligned to pre-defined architectural specifications.
  • Data Quality: Ensure data quality throughout entire ETL process, including audits and feedback loops to sources of truth.
Requirements
  • Data Engineering Experience: 4+ years of Data Engineering experience in ETL design, development, optimization & testing using PL/SQL, SAP Data Services (BODS), Alteryx or Talend etc.
  • PL/SQL and SQL Tuning: 3+ years of PL/SQL, Complex SQL Tuning, Stored Procedures, Data Warehousing best practices etc.
  • Relational and Cloud Database Design: 3+ years of experience in relational and Cloud database design, optimization and performance; preferably with AWS (S3 and Redshift), SAP HANA, BW, Oracle, and Hadoop.
  • Developing Flows: 3+ years of experience in developing flows using batch, Realtime and streaming process to personalize experiences for our customers.
  • Problem-Solving: Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
  • Project Management: Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
  • Flexibility: Willing to flex daily work schedule to allow for time-zone differences for global team communications.
  • Interpersonal and Communication Skills: Strong interpersonal and communication skills.