Data Modeling: Research and work with business stakeholders to develop our data warehouse model.
Data Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning.
Collaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions.
Data Management: Ensure data accuracy, consistency, and reliability across all datasets.
Optimization: Optimize data processes for performance and scalability.
Documentation: Maintain comprehensive documentation of transformation logic and lineage.

Requirements

Educational Background: Bachelor’s degree in computer science, Data Engineering, or a related field.
Experience: 3+ years of experience as an Analytics Engineer or in a similar role.
Strong Communication skills: Ability to work with technical and non-technical audiences to translate business requirements into data models.
Technical Proficiency:
Data Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).
Data modeling: experience in modern data modeling practices, ideally dimensional modeling.
Programming Languages: Proficiency in SQL and a familiarity with Python.
Data Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).
Database Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Version Control: Proficient with version control systems (e.g., Git).
Machine Learning: Understanding of machine learning concepts and experience working with data for ML model training.
AI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata warehousingSQLPythonETLApache AirflowLuigiDBTPostgreSQLMySQL

Soft Skills

communicationcollaboration