Hiring Sr Data Engineer in Mumbai

Job description

Role & responsibilities • 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 • 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. Preferred candidate profile • 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 • Collaborate with the business stakeholders and develop strong working relationships • Self-motivated team player and should have ability to overcome challenges and achieve desired results • 7-12 years of total experience in ETL/Data Space, 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 - • dBT