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Data Engineering Specialist
3 weeks ago
Job Opportunity: Data Engineering Specialist
">We are seeking a skilled and motivated Data Engineering Specialist to design, develop, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
The ideal candidate will have a strong background in data engineering, cloud technologies, and data architecture, and will collaborate closely with data scientists, analysts, and business teams to deliver high-quality data solutions.
Main Responsibilities:- Design and Implement Scalable Data Pipelines:
- Develop efficient and scalable data pipelines for processing structured and unstructured data.
- Maintain existing pipelines and ensure they meet evolving business requirements.
- Data Ingestion and ETL/ELT Workflows:
- Create and manage ETL/ELT workflows for data ingestion from diverse sources including APIs, databases, files, and cloud platforms.
- Ensure seamless data integration across all systems.
- Data Quality and Governance:
- Guarantee data quality, integrity, and governance across all data pipelines.
- Implement robust data validation and error handling mechanisms.
- Cross-Functional Collaboration:
- Collaborate closely with cross-functional teams to understand and fulfill data requirements.
- Communicate effectively with stakeholders to deliver high-quality data solutions.
- Performance Optimization:
- Optimize data workflows for performance and reliability.
- Analyze and improve data pipeline efficiency continuously.
- Programming & Data Engineering:
- Proficiency in Python, PySpark, and SQL.
- Experience with CI/CD practices.
- Streaming & Orchestration:
- Familiarity with Kafka.
- Knowledge of GCP Composer / Apache Airflow.
- Cloud Tools:
- Google Cloud Platform (Dataproc, BigQuery, Looker).
- Data Architecture:
- Strong understanding of data warehousing and data modeling.