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Data Engineer - Google Cloud Platform

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We are seeking a highly skilled and experienced GCP Data Engineer to join our team at Brainwork Techno solutions Pvt.Ltd.Data Engineering ExpertiseThe ideal candidate will have a strong background in Google Cloud Platform (GCP), particularly with BigQuery, and proficiency in Python and SQL.

Key Responsibilities

Data Pipeline Development & Implementation :
  • Design, develop, and implement robust and scalable data pipelines using Python, SQL, BigQuery, and Airflow (or similar orchestration tools).
  • Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
  • Automate data workflows and ensure data quality and reliability.

Data Warehousing & Data Marts

  • Design and build data marts to support business intelligence and reporting needs.
  • Implement data warehousing best practices and ensure data integrity.
  • Optimize data models and schemas for performance and scalability.

Reporting & Analytics

  • Build various business-critical reports to provide insights to stakeholders.
  • Develop and maintain data visualizations and dashboards.
  • Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights.

Data Governance

  • Implement and enforce data governance policies and procedures.
  • Ensure data security and compliance with relevant regulations.
  • Manage data quality and metadata.

GCP Infrastructure & Migration

  • Participate in data migration projects, ensuring smooth transitions and data integrity.
  • Optimize GCP resources for cost efficiency and performance.

Collaboration & Communication

  • Collaborate with various business stakeholders to understand data requirements and deliver solutions.
  • Communicate effectively with team members and stakeholders, providing clear and concise updates.
  • Work in a fast-paced environment and adapt to changing priorities.

Requirements

  • Strong proficiency in BigQuery.
  • Experience with Cloud Storage.
  • Knowledge of Cloud Composer (Airflow) or similar orchestration tools.
  • Proficiency in Python and SQL.
  • Understanding of data warehousing concepts.
  • Experience with ETL/ELT processes.
  • Knowledge of data modeling and data quality management.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently in a remote environment
(ref:hirist.tech)

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