AWS Data Team Lead
-
- Software Engineering
- Professional
AWS Data Team Lead
-
- Software Engineering
- Professional
Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
Your primary responsibilities include:
- Strategic Data Model Design and ETL Optimization: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
- Robust Data Infrastructure Management: Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
- Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.
Required Technical and Professional Expertise
Experience leading a data team
Experience working with AWS services such as Redshift, Glue, and Spark
Strong experience with SQL and data modeling
Strong experience with data analysis and reporting
Experience with data visualization tools such as Tableau or Power BI
Excellent communication and collaboration skills
Preferred Technical and Professional Expertise
Experience in automation and scripting, including programming languages such as Python, JavaScript, or PowerShell
Proficient English
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Key Job Details
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