Position:- Data Engineer Location:- Philadelphia (Hybrid), Contract to hire Job Description About Us: Onix is a Google Cloud Premier Partner serving over 1,400 customers, including several of the world's largest corporations, enabling them to leverage Google Cloud Platform across industries and use cases effectively. Onix specializes in Google Cloud Solutions such as Workload Migrations, Data & Analytics, Data infrastructure and Visualization, Infrastructure Services, Collaboration & Productivity, and Location-based Services. Onix is a 12-time 'Google Partner of the Year' award winner and a Google Cloud Managed Services Partner. We are a global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation. We have our own products! Eagle – Data warehouse Assessment & Migration Planning Product Raven – Automated Workload Conversion Product Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud. Summary: Onix is looking for a Data Engineer for its Cloud and Big Data projects in the Data Warehousing, Data Analytics domain.. Responsibilities: Develop data-driven solutions with Cloud based technologies to meet evolving business needs. Deliver impactful, scalable, and highly performant Data solution to our customers based in US, UK, Canada and India based customers Provide technical design and develop Extract/Transform/Load (ETL), ELT applications that interface with Client's customer applications. Lead and implement data driven solutions and collaborate with larger development teams Lead and Develop Test Strategy, Test Plan, Test Cases to test the cloud based solutions Required Skills and Abilities: Approx 8+ years of experience with a proven experience in data platform and big data engineering Hands-on Experience in SQL is mandatory. Quickly learning skills to adapt GCP cloud native SQL (Bigquery). Hands-on experience in Python is mandatory. Experience in using a Jupyter notebook is a plus. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.). Willingness to continuously learn & share learnings with others Capability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible for Ability to work in a fast-paced, rapidly changing environment Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery) Experience working in an agile and collaborative team environment Excellent written and verbal communication, presentation and professional speaking skills Proven problem-solving skills and attention to detail with a commitment to excellence and high standards Education: Bachelor's Degree or equivalent experience required.
Travel Expectation: Up to 10%
