Job Description :
Please Note
Remote Work - Yes, Candidate can be remote but travel to client’s location as needed. Onsite post COVID.
Mode of interview: Phone and video call discussion

Bachelor''s degree in Computer Science, Electronic/Electrical Engineering, or equivalent experience
Minimum of 5 years-experience as a data architect or equivalent role
Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions.
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, R/Python/PHP
Languages Java, SAAS, Python: Python would be more of the focus; machine learning languages. Understanding API interactions in and out of data platforms.
Hands-on experience with big data architecture and tools (e.g. MongoDB, Spark, Redshift and other applications) and considerations for scalable, distributed systems.
Hands-on experience with ETL (Extract-Transform-Load) tools (e.g. SSIS
Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, Python, R
Hands-on experience with cloud computing infrastructure (e.g. AWS EC2, S3, DMS, Data Pipelines and automation
AWS heavy environment. Expertise is a very big plus (S3, Glue, RedShift Include AWS services but also look at the security.
Working with the GRE diversification team to help frame what a data lake would look like.
Drive delivery in a matrixed environment working with various internal IT partners.
Ability to maximize the data resources by reducing redundancy, enabling accessibility within security boundaries, fostering corporate understanding of the meaning of the data (metadata management
Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously.
Must be able to work independently and have skills in planning, strategy, estimation, scheduling,
The ability to abstract general principles from specifics.
Strong problem solving, influencing, communication, and presentation skills, self-starter.
Strong communication both written and verbal.

Bachelor''s Degree in Computer Science or workforce equivalent technical certifications preferred.

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