Senior Data Engineer

ImagineX Studio is a product-oriented software development company based in Costa Rica. They are seeking a Senior Data Engineer to expand and optimize their data pipeline architecture and support cross-functional teams with data initiatives.

Responsibilities:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / 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 Azure ‘big data’ technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Strong communication needed
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets

Requirements:

• 5+ years of experience in Data Engineering
• Strong Knowledge of Microsoft Azure tech stack
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets
• Experience managing the Extract, Load, and Transform (ELT) processes
• Strong knowledge of Data Modeling, Data Integration & Ingestion
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with big data tools: ADLS, Databricks, ADF, Synapse and data-related Azure services
• Experience with data pipeline and workflow management tools: SSIS, ADF
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data' data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with Microsoft Power Platform (PowerApps, PowerAutomate, PowerBI)
• Experience with some of the following tools: Azure DevOps, GitHub Actions, Synapse, Stream Analytics, SonarQube, PyTest
• Experience with one of the object-oriented/object function scripting languages: Python, Java, C++, Scala, etc