Data Engineer, Digital & Technology

Job Description

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 5-12 years of total experience in ETL/Data Space, Min. 2+ 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 - dBT PREFERRED QUALIFICATIONS GCP Data Engineer certification, GCP certification Understanding of CPG industry