Big Query Consultant

Overview

Remote
Depends on Experience
Contract - W2

Skills

Google Cloud
Data Visualization
Data Warehouse
Extract
Transform
Load
Data Governance
Dashboard
Data Analysis
Data Extraction
Business Intelligence
Cloud Computing
Data Quality
Python
Regulatory Compliance
Google Cloud Platform
Scripting
Problem Solving
Management
Data Manipulation
Data Flow
Analytics
API

Job Details

Key responsibilities often include:

  • BigQuery Setup and Optimization:

Designing, implementing, and modifying BigQuery datasets and tables, and optimizing architecture for performance and cost-effectiveness.

  • Data Analysis and ETL:

Writing and executing SQL queries for data extraction, transformation, and loading (ETL), exploring datasets to identify patterns and trends, and interpreting results to inform business decisions.

  • Data Pipeline Development:

Building and maintaining scalable data pipelines, including ingesting logs and ensuring data accuracy and consistency through effective transformation techniques.

  • Data Quality and Governance:

Identifying and addressing data quality issues, ensuring data accuracy and consistency, and adhering to data governance and compliance policies.

  • Collaboration and Communication:

Working closely with cross-functional teams (e.g., data science, analytics) to understand requirements and translate them into effective data solutions, and creating reports and dashboards using tools like Looker Studio or other BI tools to communicate insights.

Required skills typically include:

  • Proficiency in BigQuery and SQL:

Strong hands-on experience with BigQuery and advanced SQL querying.

  • Google Cloud Platform Expertise:

Familiarity with other Google Cloud Platform services such as Google Cloud Storage, Dataflow, Dataproc, and Pub/Sub.

  • Programming Skills:

Proficiency in Python for data manipulation, scripting, and potentially API development.

  • Data Warehousing and ETL:

Experience with data warehousing concepts, ETL processes, and data pipeline management.

  • Problem-solving and Communication:

Excellent problem-solving skills, attention to detail, and strong communication and collaboration abilities.

Preferred skills may include:

  • Data Visualization:Experience with tools like Tableau or Looker.
  • Machine Learning:Knowledge of machine learning concepts and BigQuery ML.
  • Cloud Certifications:Certifications in Google Cloud Platform (e.g., Professional Data Engineer).

Thanks & Regards,

Narendra Kunware

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