
Lead Data Architect and Engineer
1 day ago
We are seeking an experienced Lead Data Architect and Engineer to drive the design and implementation of our data engineering solutions.
Main Responsibilities:
- Collaborate with cross-functional teams to develop a comprehensive data architecture that meets the growing needs of our business.
- Design and implement scalable data pipelines using a wide range of technologies, including Python, PySpark, SQL, and AWS/Azure/GCP platforms.
- Evaluate and implement emerging trends in data engineering to enhance our data capabilities and meet organizational goals.
- Develop and maintain documentation on our data systems, ensuring seamless knowledge transfer among team members.
Key Skills and Qualifications
- Extensive experience in data engineering and architecture.
- Proficiency in Python, PySpark, SQL, and cloud platforms (AWS, Azure, GCP).
- Strong understanding of relational databases (PostgreSQL, MSSQL, MySQL) and OLTP/OLAP principles.
- Expertise in orchestration tools (Apache Airflow, Prefect) and containerization using Docker and Kubernetes.
- Experience with stream processing, data warehousing, and data lakes.
Benefits and Opportunities
- Opportunity to work on cutting-edge data projects and contribute to the growth of our organization.
- Collaborative environment with experienced professionals who share knowledge and expertise.
- Ongoing training and development opportunities to enhance skills and stay updated with industry trends.
Desirable Skills and Experience
- Deep knowledge of Spark internals and query optimization techniques.
- Experience with data integration and business intelligence architecture.
- Understanding of data storage design principles and popular data formats (JSON, XML, Proto, Parquet, Avro, ORC).
- Experience with data science and machine learning, including building predictive models.
Keyword: DataEngineer
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