
Transform Your Career with Data Engineering
4 days ago
Transform your career as a Data Engineer. You will play a pivotal role in crafting, implementing, and maintaining data infrastructure to drive customer experience and management initiatives forward.
This is an exciting opportunity to work with cutting-edge technologies and shape the future of data-driven decision-making.
Key Responsibilities:- Design and develop scalable data pipelines and ETL processes to ingest, transform, and store data from diverse sources.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Implement data models and schemas to support analytics, reporting, and machine learning initiatives.
- Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness.
- Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.
- Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.
- Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven 3+ years' experience as a data engineer or similar role.
- Proficiency in SQL, Python, and/or other programming languages for data processing and manipulation.
- Experience with relational and NoSQL databases, data warehousing, and data modeling concepts.
- Strong understanding of distributed computing frameworks and cloud-based data platforms.
- Familiarity with data visualization tools and data pipeline tools is a plus.
- Understanding of data and query optimization, query profiling, and query performance monitoring tools and techniques.
- Solid understanding of ETL/ELT processes, data validation, and data security best practices.
- Experience in version control systems (Git) and CI/CD pipelines.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
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