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2 days ago
As a seasoned Data Engineer, you will play a pivotal role in designing and developing scalable data pipelines and ETL processes using industry-leading Google Cloud Platform (GCP) services.
Key Responsibilities:- Develop high-performance data pipelines and ETL processes leveraging GCP services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Function, and Cloud Run.
- Collaborate with data science teams to understand complex data requirements and deliver tailored data solutions.
- Implement comprehensive data integration solutions to ingest, process, and store large volumes of structured and unstructured data from diverse sources.
- Optimize and fine-tune data pipelines for maximum efficiency, reliability, and cost-effectiveness.
- Maintain data integrity through rigorous validation, cleansing, and transformation processes.
- Design and maintain robust data models, schemas, and metadata to support advanced analytics and reporting.
- Proactively monitor and troubleshoot data pipeline issues, ensuring prompt resolution and minimal disruption to critical workflows.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4-6 years of experience in data engineering, with a strong focus on GCP services.
- Proficiency in Python and PL/SQL programming languages.
- Strong understanding of SQL and NoSQL databases.
- Knowledge of data warehousing concepts and best practices.
- Familiarity with data integration tools and frameworks.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to thrive in fast-paced, dynamic environments.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and innovative work environment.
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