Description

You will bridge the gap between business requirements and technical data solutions by designing data models and automated pipelines.

Responsibilities

• Gather and refine requirements through direct engagement with business stakeholders.
• Design, develop, and maintain data models using SQL and BigQuery to support reporting needs.
• Build data pipelines to integrate, cleanse, and structure data from multiple sources.
• Write optimized, scalable SQL and Python code for complex data processing.
• Perform QA testing on data and reports to validate system accuracy.
• Build and maintain dashboards and prepare reports highlighting trends and patterns.

Required Skills

• 1+ years of experience with Python and R.
• 2+ years of experience with Google Cloud technologies including BigQuery and Dataproc.
• 2+ years of experience developing dashboards using Tableau, PowerBI, or Looker Studio.
• 1+ years of experience in data cleaning, preprocessing, feature engineering, and statistical analysis using PyTorch or scikit-learn.
• Strong proficiency in SQL and GCP environments.
• BS degree in Computer Science or a related technical field.

Preferred Skills

• Cloud Certification.
• Experience with Dataflow, Apache Beam, Bigtable, PubSub, GCS, or Composer/Airflow.
• Experience with source control management such as Git, GitHub, or SVN.

Key Skills

Education

Any Graduate