
Large-Scale Data Engineer
3 days ago
We are seeking an experienced Senior Data Engineer to join our team, responsible for designing, developing, and maintaining large-scale data processing systems.
- Design, develop, and deploy data pipelines and architectures, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams to identify business requirements and translate them into actionable data solutions.
- Develop and maintain high-quality code, adhering to coding standards, best practices, and security guidelines.
- Work closely with data scientists and analysts to integrate data into their workflows, enabling informed decision-making.
- Ensure data quality, integrity, and governance, implementing measures to prevent data breaches and errors.
- Stay up-to-date with emerging technologies and trends, applying new knowledge to drive innovation and improvement.
- Communicate technical ideas and solutions to both technical and non-technical stakeholders, using clear and concise language.
- Lead by example, mentoring junior engineers and promoting a culture of continuous learning and growth.
The ideal candidate will possess:
- Bachelor's degree in Computer Science or Software Engineering, with a strong foundation in data structures, algorithms, and software engineering principles.
- Relational database experience is required, with a good understanding of database design, normalization, and query optimization.
- Reporting experience is required (Jet, Power BI or Tableau), with a focus on data visualization and storytelling.
- ETL experience and programming skills in at least one of the following languages: Java, Python, with a strong emphasis on data processing and manipulation.
- The individual should be from a development background in data engineering, with a solid understanding of data pipelines, architectures, and workflows.
- Experience working with onsite and offshore teams, with a focus on collaboration, communication, and problem-solving.
- Ability to work under minimal supervision, relying on experience, research, and judgment to plan and accomplish assigned goals.
- Understanding of data archival strategy, including data retention, backup, and recovery procedures.
- Strong complex problem-solving and troubleshooting skills, with a focus on root cause analysis and resolution.
- Ability to learn quickly and manage time effectively, prioritizing tasks and meeting deadlines.
- Proven written and oral communication skills, with a focus on clarity, concision, and impact.
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