
Chief Data Architect
4 days ago
This is a high-profile position for a talented Data Engineer to design, develop, and maintain robust data pipelines and ETL workflows.
The ideal candidate will be responsible for building and managing scalable data architectures and cloud-based infrastructure that support real-time and batch data processing.
We are seeking a highly motivated and detail-oriented individual who can ensure data accuracy, completeness, consistency, and governance.
- Design and develop complex data pipelines and ETL workflows
- Build and manage scalable data architectures and cloud-based infrastructure
- Ensure data quality, accuracy, and governance
- Collaborate with analytics and engineering teams to understand data needs
- Optimize performance of data systems, queries, and storage solutions
- Implement data quality monitoring and alerting systems
- Create comprehensive documentation for data workflows and schemas
Requirements:
- Proven experience as a Data Engineer or in a similar data infrastructure role
- Strong programming skills in languages such as Python, Java, or Scala
- Proficient in SQL and experienced with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases
- Experience with data processing frameworks like Apache Spark,Hadoop, Kafka, or Flink
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery)
- Experience with orchestration tools like Airflow, Luigi, or Prefect
- Understanding of data security, privacy, and compliance practices
- Strong problem-solving skills and attention to detail
- Bachelor's degree in Computer Science, Engineering, or a related field
Preferred Qualifications:
- Experience with CI/CD pipelines and version control (Git)
- Exposure to machine learning pipelines and model deployment
- Advanced certifications in cloud or big data platforms
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