AWS Data Engineer

Role

At TE we strongly believe that data and analytics are strategic drivers for future success. We are investing significantly in building our advanced analytics team. The Analytics team at TE is part of the TE Information Solutions (TEIS) 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; in this position you will apply your skills to unlock opportunities and enable top strategic priorities for TE. You will be working on problems that require advanced analytics applications to create value for diverse business functions such as supply chain, pricing, digital marketing, and sales growth, and will impact business units that span through multiple geographic areas.

Responsibilities include

• Work closely with Business Intelligence Analysts and Stakeholders to identify reporting needs, metrics, data assets and systems. 
• Support the modeling and creation of datasets using AWS Infrastructure (Glue, Lambda), Python, SQL to be then used for self-service dashboard reports.
• Build knowledge about all the datasets inside the data lake to be able to provide guidance to other engineers and/or stakeholders
• Streamline data preparation and processes for maximum automation and efficiency whilst supporting environment migrations where required
• Analyze, organize, segment, and disseminate raw or unprocessed data based on business needs.
• Be the key anchor for data extraction, preparation, and hosting processes.
• Create master data files from disparate data sources by building data pipeline
• Develop and test architecture for data extraction
• Provide continuous connectivity to a master data source and access to refreshed data
• Ensure data quality and reliability
• Data expert for datasets 
   

Qualifications and skills required:

• 3+ years of Data Engineering experience in ETL design, development, optimization & testing using SQL, Python, AWS Services (Lambda, Glue, Redshift, S3)
• 3+ Complex SQL Tuning, Stored Procedures, Data Warehousing best practices etc.
• 3+ years of experience in relational or Cloud database design, optimization, and performance; preferably with AWS Redshift/Aurora, SAP HANA, and Oracle.
• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
• Experience with creation of solution, project documentation
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willingness to flex daily work schedule to allow for time-zone differences for global team communications. 
• Strong interpersonal and communication skills.

We value

• Experience in business domains – supply chain, pricing, sales & marketing, sales, finances
• Data Engineering & AWS Cloud Certifications
• Experience with advanced analytical algorithms like AI, ML
• CI/CD knowledge
• Works with Jira/Confluence/SNOW
• Experience in Agile methodology

What we can offer

• Work in a team where a good atmosphere and team spirit is one of greatest values,
• Flexible working hours,
• Hybrid work model, possibility to work from home or from the office
• 2 days in quarter for self-development and trainings
• LinkedIn learning platform, Internal learning platform, ACloud Guru
   

Competencies