Analytics Engineer II

hace 3 semanas

Alajuela, Costa Rica Snap Finance A tiempo completo

Description

The Job…

We are looking for an Analytics Engineer to help us build tools and processes to democratize access to data throughout the analytics organization and beyond. You will work cross-functionally with many teams within the organization to understand their data needs. You will work with the data engineering team to design and maintain scalable, secure, and reliable data solutions across our operational and analytics systems. This will involve building data models and pipelines to integrate data sources using a variety of languages and tools.

The ideal candidate is eager to learn and driven toward finding excellent solutions to complex problems with an exciting, fun and passionate team 

The Analytics Engineer will support our developers, data scientists, business intelligence analysts, machine learning engineers, and more in ensuring consistent, accurate data delivery. This is a great opportunity to expand your technical skillset and grow into a data engineer, ML software engineer, data scientist, or more.

You…

Work with stakeholders to assist with data-related technical issues and support their data needs Apply security best practices to ensure that data is appropriately protected Develop Data Marts, Metrics Catalogues, and Feature Sets to support analytics activities Build and maintain data models Create tools for monitoring data quality and generating alerts Identify, design, and implement internal process improvements: automating manual processes, re-designing infrastructure for greater scalability, etc. Root cause analysis on data integrity and pipeline issues

Required Skills :

Fluent in English (written and spoken) Authorized to work in the CR  SQL relational databases and data warehouses – you are comfortable writing SQL including Programming using Python Grouping and window functions Understanding of data modeling best practices Source control systems: git, GitHub Working with unstructured or semi-structured datasets Fundamental programming skills

Preferred Skills (3+ of the following):

Programming using Python and R Comfortable on UNIX command line Automated workflows and CI/CD tools: Airflow, Argo, Jenkins, etc. Container-based deployments using Docker and Kubernetes Amazon Web Services: S3, EC2, ECR, ELB, RDS, DynamoDB, etc. Ability to optimize SQL queries for high performance

Education and Background:

Bachelor’s degree, or higher, in Computer Science or other STEM field Min 2+ years of relevant experience (internship experience is OK), Candidates with greater education and experience will be considered for job levels with more seniority (Analytics Engineer 1 – 5)

Personal Characteristics:

Strong analytical and problem-solving skills Top-notch communication Team-oriented but able to complete tasks independently at a high standard Structured, organized, and detail-oriented Proactive, enthusiastic, and flexible Fluency in English, both in oral and written form Ability to take projects from conceptualization to implementation Must be legally able to work in the United States Proactively interacts with area experts to gain more knowledge Proactively seeks opportunities to assist others Constructively confronts negative attitudes and stops gossip within the team Clearly communicates complex ideas and issues Effectively writes reports and sends out communications Creates and gives effective presentations Schedules and runs effective meetings Documents processes of intermediate complexity Provides recommendations on process changes

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