
Chief Data Architect
2 days ago
We are seeking a highly skilled Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure.
This role involves collaborating with cross-functional teams to deliver reliable, high-quality data systems that power analytics, insights, and data-driven decision-making.
- Main Responsibilities:
- Design, build, and maintain robust data architectures and cloud-based infrastructure.
- Develop and implement data processing workflows using Apache Spark, Hadoop, Kafka, or Flink.
- Ensure data accuracy, completeness, consistency, and governance across various databases.
- Collaborate with analytics and engineering teams to understand data needs and optimize performance.
- 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.
- Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
- Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA).
Skills:
- Experience with orchestration tools like Airflow, Luigi, or Prefect.
- Knowledge of cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Ability to work with large datasets and optimize system performance.
About This Role:
This is an exciting opportunity to join our team and contribute to the development of cutting-edge data solutions. If you have a passion for data engineering and a strong desire to learn and grow, we encourage you to apply for this position.
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