Data Engineer
1 month ago
Job Description :
- Design, build, and maintain scalable and efficient data pipelines using GCP tools such as Cloud Dataflow, Cloud Composer, and Cloud Functions.
- Extract data from various sources (e. , databases, files, APIs) and transform it into a suitable format for analytics.
- Load data into GCP data stores like BigQuery, Cloud Storage, and Data Fusion.
- Optimize data pipelines for performance and cost-efficiency.
- Design and implement data warehouses on GCP, including data modeling, schema design, and data partitioning.
- Ensure data quality and consistency throughout the data lifecycle.
- Develop and maintain data governance policies and procedures.
- Collaborate with data analysts and scientists to understand their data requirements.
- Provide support for data analysis and visualization using tools like Looker, Data Studio, or custom dashboards.
- Develop data-driven insights and recommendations.
- Manage and optimize GCP infrastructure resources (e. , VMs, storage, networking) related to data engineering projects.
- Implement security measures to protect sensitive data.
- Monitor and troubleshoot data pipeline and infrastructure issues.
- Stay updated on the latest GCP technologies and best practices.
- Evaluate and recommend new tools and technologies to improve data engineering processes.
- Contribute to the development of data engineering standards and guidelines.
- 3 - 5 years of experience in data engineering or a related field.
- Strong proficiency in GCP technologies, including BigQuery, Dataflow, Composer, Cloud Functions, Cloud Storage, and Data Fusion.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Solid understanding of SQL and Python programming languages.
- Knowledge of data analysis and visualization tools (e., Looker, Data Studio).
- Experience with cloud infrastructure management and DevOps practices.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team
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