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Cloud Data Engineer
2 months ago
We are seeking a highly skilled Cloud Data Engineer to join our team at IT Associates. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining large-scale data processing systems on Google Cloud Platform (GCP).
Key Responsibilities:
- Design and implement scalable and efficient data processing pipelines using GCP services such as BigQuery, Dataflow, and Cloud Storage.
- Collaborate with cross-functional teams to develop and deploy cloud-based data analytics solutions.
- Work with business stakeholders to understand their data requirements and design data architectures to meet their needs.
- Develop and maintain high-quality, well-documented code using languages such as Python and SQL.
- Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- At least 5-10 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 2-3 years in GCP/Cloud-based platform.
- Strong understanding of data fundamentals, knowledge of data engineering, and familiarity with core cloud concepts.
- Must have good implementation experience on various GCP's Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data Fusion, Cloud Spanner, and Cloud SQL.
- Must have solid programmatic experience of SQL, Python, and Apache Spark.
Preferred Qualifications:
- Google Cloud Platform certification.
- Experience with legacy data warehouses (on SQL Server or any Relational Data Warehouse platform).
- Experience with our main tools DBT (Data Build Tool), Terraform/Terragrunt, Git (CI/CD).
- Experience with a testing framework.
- Experience with Business Intelligence tools like PowerBI and/or Looker.
What We Offer:
- A competitive salary and benefits package.
- The opportunity to work with a talented team of data engineers and analysts.
- A dynamic and fast-paced work environment.
- The chance to work on a wide range of projects and technologies.