Data Architect
2 weeks ago
We are seeking a highly skilled Data Engineer to join our team at Aviin Tech. This is an excellent opportunity for a motivated and experienced professional to take on a challenging role in designing, developing, and maintaining our data architecture and infrastructure.
Key Responsibilities- Design and implement efficient data pipelines and ETL processes to ensure seamless data flow across systems.
- Develop and maintain robust databases, data warehouses, and data lakes to store and manage large datasets.
- Collaborate closely with data scientists to translate complex algorithms into production-ready systems.
- Create and maintain optimal data pipeline architecture to ensure scalability and reliability.
- Identify areas for process improvement and implement changes to increase efficiency and productivity.
- Build the necessary infrastructure to extract, transform, and load data from various sources.
- Work with stakeholders to resolve data-related technical issues and provide expert guidance on data management best practices.
- Design and implement data models and architecture to support business decision-making.
- Develop and optimize SQL queries to improve data retrieval and analysis efficiency.
- Monitor and maintain data quality, integrity, and security to ensure compliance with regulatory requirements.
- Implement and enforce data governance and privacy policies to protect sensitive information.
- Mentor junior team members and share knowledge to promote growth and development.
- Stay up-to-date with emerging technologies and trends in data engineering to drive innovation and excellence.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Data Engineer or similar role, with a strong track record of delivering high-quality results.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in ETL tools, data modeling, and database design.
- Strong programming skills in languages like Python, SQL, or Java.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of data warehousing concepts and technologies.
- Experience in data pipeline orchestration and automation.
- Strong understanding of data governance and security principles.
- Ability to work in a fast-paced environment and adapt to changing priorities.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Good communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
$120,000 - $180,000 per year
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