Data Analytics Engineer

Trident Consulting • Pleasanton, CA

1d • Onsite

About The Position

We're looking for an Analytics Engineer who is passionate about transforming vast data landscapes into compelling business insights. In our team, we work across multiple teams to understand performance, capacity and cost engineering using a massive amount of data and data sources. This role offers the chance to engage with a data warehouse of multi-petabyte scale, enhancing your expertise and delivering a significant contribution to the company's success. You'll be instrumental in maintaining data pipelines and collaborating across the company, all while using a diverse set of technologies.

Requirements

• 3+ years' experience in Data Warehousing, Data Engineering, Analytics Engineering, or Software Development, or Data Science
• Bachelor's degree or equivalent in Computer Science.
• Experience with DBT and Semantic Layer technologies like Light Dash, LookML, Cube, or Metrics Flow.

Nice To Haves

• Master's degree or advanced certification in Data Science or Analytics is a plus.
• Skilled in a range of modern data stack (MDS) tools.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Familiarity with cloud services like AWS, Azure, or Google Cloud.
• Knowledge of data pipeline and workflow management tools like Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with business intelligence tools and data visualization techniques.
• At ease within the open-source environment.
• Knowledge of CI/CD, DevOps, GitOps practices is a bonus.

Responsibilities

• Develop and maintain data transformation pipelines.
• Ensure seamless data ingestion, transformation, scheduling, and preparation for analytics.
• Partner with domain experts across Workday.
• Apply an array of tools for data processing and analysis using Trino/Presto, Jupyter Notebooks, Python, Apache Airflow, AWS RDS, MySQL/PostgreSQL, Git, and more.
• Innovate and automate data models, influencing pipeline architecture.
• Engage with various teams to provide insightful, data-driven recommendations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level