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On-site

Job Type

Full Time

Job Description

REQUIREMENTS MANAGEMENT: Identify, document, communicate and design per requirements.
  • DESIGN: Work with Data Product Owners to design data stores.
  • IMPLEMENT DATA STORES: Implement data stores on GCP, using DBT for transformations, BigQuery for data store and Astronomer for overall orchestration.
  • TEST: Participate in testing and adopt test driven development.
  • TUNE: Tune data stores (indexes, SQL queries) to improve performance.
  • L2 SUPPORT: Assist with customer inquiries and incidents/problems.
  • COLLABORATE: Work within/across teams.

Responsibilities

Critical thinking and decision making
  • DA/DBA - Data Architecture (Data Design, Index Design, Referential Integrity)
  • DA/DBA - DB Create/Modify (DB Create/Modify tables, DDL export/import, Data export/import)
  • DA/DBA - Performance Tuning (DB-side identification of issues, SQL tuning, DB tuning)
  • Data Manipulation – GCP BigQuery, DBT
  • Data Pipeline Orchestration – Astronomer, GCP Cloud Scheduler
  • Strong communication – both verbal and written

Qualifications

  • Bachelor’s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline.
  • 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim.
  • 2+ years of experience with both supervised and unsupervised machine learning techniques.
  • 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense.
  • 1+ years' experience in SQL programming language and relational databases.

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