Remote job: Encora is hiring Data Engineer - Mexico

Responsibilities for Data Engineer

• 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 AWS ‘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 across the organization to assist with data-related technical issues and support their data infrastructure needs.
• 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.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• 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.
• 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.
• We are ideally looking for a candidate with 3+ years of experience in a Data Engineer role.
• While our systems are still evolving and architecture will change, the most competitive candidates will have experience in many of the technologies we use today or are currently exploring:
• GraphQL
• Postgres
• Azure EDW:
• Azure Data Factory
• SQL Server
• PowerBI
• Tableau or AWS Quicksight
• Excel/Google Sheets
• Metabase
• Redshift
• AWS DMS
• Nice to have skills, but not strictly necessary
• Salesforce 
• JavaScript
• Streaming/event-based tech experience: Kafka, AWS SQS, etc.
• Geospatial experience, such as PostGIS (for Postgres)