Senior Data Engineer

Project – the aim you’ll have

We are looking for a strong and self-driven data engineer to contribute to our Data Intelligence engineering group by building new functionality, as well as enhancements to existing data storage, pipelines and in-house data analysis tooling. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The problem areas span the scales from complex domain and data models with hundreds to hundred thousands of items in relational schemas for interactive work and background processing in SQL, ETL with thousands to millions of rows per day, to searches and statistics on billion-row size tables to big-data type stream processing and storage. We are a robust developer group with both full stack, back end, data engineering and data architecture resources working in a domain-driven area, collaborating closely with data analysts, domain specialist content curators, and do cross-functional collaborations to enable application teams with domain data and data integrations as well as data analysis.

Position – how you’ll contribute

• Create and maintain data pipelines and collaborate on improving the data architecture.
• Assemble or enhance large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud native technologies.
• Collaborate with architecture/design on unifying existing related but separate data models, pipelines and storage to enable unified data management and tooling.
• Build analytics tools or microservices that utilize the data pipelines to provide actionable insights, operational efficiency or data sets usable in domain content or for analysts working on content.
• Work with stakeholders including the Engineering management, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our and tenant data in our services separated and secure across cloud regions.
• Extend existing or create new data tools where needed for analytics and data scientist team members that assist them in building and optimizing our products and domain content production.
• Work with data and analytics experts to strive for greater functionality in our data systems and enhance overall data quality.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Requirements

Expectations - the experience you need

• 8+ years of experience in a Data Engineer role, or 5+ years and a strong portfolio of relevant projects and strong relevant skills,
• Experience using the following software/tools: Microsoft SQL server, Microsoft Azure data-related infrastructure like ADF, Blob storage, Azure Functions, KeyVault, etc
• .NET development in C#
• Experience with stream-processing systems, preferably DataBricks, Spark or NATS Jetstream
• Experience with data pipeline and workflow management tools
• Experience with Docker/Kubernetes and containerized deployments
• Preferably some experience with Python
• Preferably some experience with AWS cloud services
• Good communication skills in English, able to communicate effectively and ask questions

Additional skills - the edge you have

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores, like DataBricks + Lakehouse NATS Jetstream, Kafka.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.