
Cloud-Based Data Engineering Specialist
2 days ago
Insight Global is seeking a highly skilled GCP Data Engineer to fill a key position in our organization. The ideal candidate will have at least 6+ years of experience in data engineering, with a strong background in designing and deploying data pipelines, orchestrating workflows, and managing datasets.
Main Responsibilities:
- Design and deploy scalable data pipelines using Google Cloud services such as BigQuery, Dataflow, and Dataproc.
- Develop and implement workflow orchestration using Apache Airflow and CI/CD pipelines.
- Analyze and process large datasets using ETL techniques.
- Collaborate with cross-functional teams to design and implement data-driven solutions.
- Troubleshoot technical issues and create comprehensive documentation for data components.
Requirements:
- At least 6+ years of experience in data engineering with expertise in cloud-based systems.
- Proven track record of designing and implementing complex data pipelines.
- Proficiency in programming languages such as Python or Java.
- Familiarity with APIs and their integration with data systems.
- Excellent analytical and problem-solving skills.
- Mastery of data engineering tools and technologies including Pyspark, Dataflows, Dataproc, and Big Query.
About This Role:
This role requires a highly motivated and experienced professional who can work effectively in a fast-paced environment. The ideal candidate will have a passion for data engineering and be able to communicate complex ideas clearly to both technical and non-technical stakeholders.
Bonus Points:
- Experience working with financial or banking datasets.
- Familiarity with DevOps practices and containerization.
- Strong understanding of cloud security best practices.
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