
Data Engineer
2 weeks ago
Job Description :
Key Responsibilities :
- Implement ETL (Extract, Transform, Load) processes and ensure data quality and consistency across all data sources.
- Work with GCP data services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer to manage and process large volumes of data.
- Develop and optimize SQL queries and data models to support business analytics and reporting needs.
- Integrate data from various sources, including internal databases, third-party data, and APIs.
- Collaborate with data scientists and business stakeholders to identify data needs and deliver actionable insights.
- Monitor and troubleshoot data pipeline performance, ensuring data is processed and delivered on time.
- Apply best practices for data security, including data encryption, access control, and audit logging in GCP.
- Continuously evaluate and improve data infrastructure, ensuring high availability, scalability, and reliability.
- Automate data operations and reporting using tools like Cloud Functions, Cloud Run, and others.
- Stay up to date with emerging GCP technologies, data engineering trends, and best Qualifications :
- Proven experience in data engineering or a similar role with expertise in Google Cloud Platform (GCP).
- Strong proficiency in SQL and experience with relational databases (BigQuery, Cloud SQL, etc.).
- Experience working with GCP data services : BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer.
- Knowledge of data modeling, data warehousing concepts, and ETL processes.
- Familiarity with programming languages like Python, Java, or Scala.
- Experience with version control systems (e.g., Git) and agile development methodologies.
- Understanding of data security best practices in cloud environments.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
(ref:hirist.tech)
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