
Chief Data Architect
4 days ago
As a key member of our team, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support real-time and batch data processing.
Key Responsibilities:
- Develop robust data pipelines and ETL workflows to ensure data accuracy, completeness, consistency, and governance.
- Design and manage scalable data architectures and cloud-based infrastructure to optimize performance of data systems, queries, and storage solutions.
- Collaborate with cross-functional teams to understand data needs and implement data quality monitoring and alerting systems.
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.
- Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
- Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA).
- Bachelor's degree in Computer Science, Engineering, or a related field.
Benefits:
- Exposure to high-impact projects and scalable data systems.
- Collaborative and innovation-driven work environment.
- Opportunities for continuous learning and career growth.
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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