KEY ACCOUNTABILITIES
· Design, create, code, and support a variety of data pipelines and models on any cloud technology (GCP preferred)
· Partner with business analysts, architects, and other key project stakeholders to deliver business initiatives
· Seeks to learn new skills, mentor newer team members, build domain expertise and document processes
· Actively builds knowledge of D&T resources, people, and technology
· Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space
· Collaboratively troubleshoot technical and performance issues in the data space
· Leans into ambiguity and partners with others to find solutions
· Ability to identify opportunities to contribute work to the broader GMI data community
· Ability to manage multiple stakeholders, tasks and navigate through ambiguity & complexity
· Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects.
· Support existing Data warehouses & related jobs.
· Familiarity with real time and streaming data processes
· Proactive research into up-to-date technology or techniques for development
· Should have automation mindset to embrace a Continuous Improvement mentality to streamline & eliminate waste in all processes.
MINIMUM QUALIFICATIONS
· Identified as the technical /project lead for global projects
· Actively coaches and mentors’ team of developers
· Pro-actively identifies potential issues / deadline slippage /opportunities in projects/tasks and takes timely decisions
· Demonstrates strong affinity towards paying attention to details and delivery accuracy
· Collaborates with the business stakeholders and develop strong working relationships
· Self-motivated team player and should have ability to overcome challenges and achieve desired results
· 10-12+ years of total experience in ETL/Data Space, Min. 4+ relevant experience in Cloud Space
· Excellent communication skills- verbal and written
· Excellent analytical skills
· Expert level
· Cloud (Storage, Modelling, Real time) – GCP Preferred
· Data Storage (S3 / Blob Storage)
· Big Query
· SQL
· Composer
· Cloud Functions (Lambda/Azure function)
· Data Warehousing Concepts
· Intermediate Level
· Python
· Kafka, Pub/Sub
· Basic Level/Preferred
· dBT
PREFERRED QUALIFICATIONS
· GCP Data Engineer certification, GCP certification
· Understanding of CPG industry