Data Engineer

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:
Relocation package.
Transport bonus.​ ​