Data Engineer - (GCP)

0 years

0 Lacs

Posted:19 hours ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Engineer

We are seeking a highly motivated and skilled Data Engineer to join our dynamic team. This is a high-impact role where you will be instrumental in building and maintaining our data infrastructure, enabling data-driven decisions across the organization. We are open to remote candidates who are team players, flexible, and ready to learn.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines using Python and DigDag.
  • Work extensively with Google Cloud services, specifically BigQuery, for data warehousing and analytics.
  • Write and optimize complex SQL queries for data extraction and transformation.
  • Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.
  • Ensure data quality, integrity, and security across all data pipelines and systems.
  • Troubleshoot and resolve data-related issues, ensuring minimal disruption to data availability.
  • Continuously explore and implement new technologies and best practices in data engineering.
  • Contribute to the overall data strategy and architecture.

Qualifications

  • Strong experience in data engineering with a proven track record of building and deploying data pipelines.
  • Proficiency in Python for data manipulation and automation.
  • Experience with workflow management tools like DigDag.
  • In-depth knowledge of ETL processes and data warehousing concepts.
  • Extensive experience with Google Cloud Platform (GCP), especially BigQuery.
  • Expertise in SQL for data querying and manipulation.
  • Ability to work independently and as part of a collaborative team.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.

Preferred Qualifications

  • Familiarity with other GCP data services (e.g., Cloud Storage, Cloud Pub/Sub, Dataflow).
  • Experience with data visualization tools.
  • Understanding of data governance and data security principles.

Job Type: Full-time

Schedule:

  • Day shift
  • Morning shift

Work Location: In person

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