Data Architect
1 month ago
Technical Leadership in Data Engineering
We are seeking a highly skilled and experienced Technical Lead to play a crucial role in designing data architecture and models based on business requirements, ensuring data integrity, security, and performance.
Main Responsibilities:
- Data Architecture and Design:
- Develop and implement robust and scalable data pipelines and ETL processes.
- Maintain data models and schemas that support business needs and analytics.
- Data Integration:
- Integrate data from various sources, including relational databases, data lakes, APIs, and third-party services.
- Ensure data consistency, accuracy, and reliability across all integrated systems.
- Data Pipeline Development:
- Build and optimize data pipelines for data ingestion, transformation, and storage.
- Implement data quality checks and validation processes to ensure data integrity.
- Performance Optimization:
- Monitor and optimize the performance of data pipelines and databases.
- Troubleshoot and resolve performance issues and data-related problems.
- Documentation and Reporting:
- Document data architecture, data pipelines, and processes.
- Provide regular reports and updates on project status and data infrastructure health.
Qualifications:
- Bachelor's degree in computer science.
- 5-8 years of experience as a Data Engineer or in a similar role, with a strong focus on data architecture and pipeline development.
- Proficiency in programming languages such as Python, Java, or Scala, SQL, Spark.
- Extensive experience with Cloudera & Big Data Technologies.
- Familiarity with data processing frameworks and tools (e.g., Apache Spark, Apache Kafka, Hadoop).
- Knowledge of data warehousing solutions.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills and the ability to present complex technical information to non-technical stakeholders.
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