Data Engineer/Architect – EDGE|ML

4 days ago

Noida, Uttar Pradesh, India Topcoder Full time


Data Engineer/Architect – EDGE|ML

Description

EDGE|ML is an end-to-end analytics and solutions platform aiming to supply SCM, logistics, store and category managers with data, insights, and solutions to optimize their processes. EDGE|ML is built on a state-of-the-art, scalable technology leveraging Google Cloud Platform managed services.

The ideal candidate for the Data engineer/architect role is an experienced data pipeline/architecture builder who enjoys building from the ground up and optimizing data systems.

Your challenges
  • Augment EDGE|ML offerings by enhancing, extending, optimizing, and operationalizing the analytic services.
  • Data Architecture
  • Optimally design and work with large, complex datasets in BigQuery.
  • Data Engineering
  • Design, build, maintain, productionize, and operate data pipelines in GCP using Python, SQL, and Google managed services.
  • Deploy machine learning models.
  • Collaborate closely with business stakeholders, data analysts/scientists, software engineers, and platform operations staff.
You should bring in
  • Data architecture
  • 5+ years of experience in Data Warehousing, Business Intelligence, Big Data.
  • Advanced working SQL knowledge and experience (CTE, window functions) working with relational databases, as well as working familiarity with a variety of databases.
  • Extensive knowledge of data modelling approaches and best practices. Experience in implementation of a data mesh architecture in Google Cloud is a strong plus.
  • Extensive knowledge of techniques for query optimization in BigQuery.
  • Data Engineering
  • 5+ years of experience in a Data Engineering role
  • Extensive experience building, optimizing, and productionizing 'big data' data pipelines, in Google Cloud Platform.
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices.
  • Experience with source control systems (GitHub) and continuous integration & deployment tools e.g. Jenkins
  • Experience using application containerization technologies (Docker, Kubernetes), orchestration and scheduling (e.g. Google Composer, Apache Airflow)
  • Experience with machine learning using packages such as xgboost, sklearn, TensorFlow (building, deploying, monitoring)
  • Experience building data pipelines for Gen AI product Knowledge of professional software engineering practices, craftsmanship of clean and efficient code
  • Intense curiosity and tenacity in staying ahead of with technology and continually striving to be better at your craft.
  • Strong interpersonal skills, comfortable in communicating with users, other technical teams, and business stakeholders to understand requirements, describe data modeling and data engineering decisions.
  • Ability to contribute to an open, international team culture to drive the knowledge exchange and learning of all team members. Fluency in English (both written and spoken) is a must-have.

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