Data Engineer
ERNI - Swiss Software Engineering
hace 2 días

About the position

  • Responsibilities
  • Requirements
  • Responsibilities

  • Implement techniques to acquire, discover and explore data for analytics.
  • POC / POV and prototyping data and analytics solutions and derive viability for scale up.
  • Ensure data quality, integrity, security and completeness throughout the data lifecycle.
  • Define data validation strategies, pre-processing and feature engineering strategies.
  • Test / train and fine tune models and deployment of models in production.
  • Work with business stakeholders to understand requirements and business use cases and translating data into metrics, KPI, and solutions.
  • Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management.
  • Design and develop data services and API.
  • Requirements

  • 4+ years of relevant experience in Computer Science / Statistical Modelling & Analysis / Operations Research.
  • Experience on deployment on analytics solutions on Hybrid platforms : Cloud and / or Edge.
  • Experience in analyzing large quantities of data in cloud platform like AWS or Azure eco-system. (Azure preferred)
  • Strong experience and exposure in classification, clustering, segmentation, targeted recommendations and managing customer behavior data.
  • Handling large internal and external data including social media and other 3rd party datasets to derive valuable insights.
  • NoSQL Databases and Big data technologies including Hadoop, MongoDB, and Azure CosmosDB.
  • Experience with API / RESTful data services.
  • Worked on real-time data capture, processing and storing using technologies like Azure Event Hubs and Streaming Analytics.
  • Experience working with different data storage options including AWS S3, Azure BLOB storage etc.
  • Understanding of different data formats including Parquet, Avro, CSV, ORC etc.
  • Prior experience with MPP databases and maintain large amount of data processing.
  • Experience with Azure Data Factory and Azure Data Catalog is a big plus but not mandatory.
  • Experience with Microsoft / Azure ETL solutions and business Intelligence technologies is a big plus but not mandatory.
  • Past working experience on a fast paced and agile environment.
  • Ability to review architecture design and provide direction on system capabilities.
  • Perform ongoing monitoring, automation and refinement of data engineering solutions.
  • Build and meet project timelines and manage delivery commitments with proper communication to management.
  • Collaborate and communicate with key business lines, technology partners, vendors and architects.
  • Benefits

    Permanent contracts. ERNI career path.

    Flexibility package :

    Flexible working hours.

    Home office program*

    Friday intensive shift*

    Gym for less.

    Free language courses (English, Spanish and German).

    Private medical insurance with Adeslas.

    Flexible pay.

    Attractive referral bonus. If needed :

    Transport bonus.

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