
Data Systems Architect
4 days ago
We are looking for a highly skilled data professional to design, build, and maintain robust data systems.
This role involves collaborating with cross-functional teams to deliver scalable, reliable, and high-quality data systems that power analytics, insights, and informed decision-making.
As a data engineer, you will be responsible for:
- Designing and developing complex data pipelines and ETL workflows.
- Building and managing large-scale data architectures and cloud-based infrastructure.
- Ensuring data accuracy, completeness, consistency, and governance across the organization.
- Working closely with analytics and engineering teams to understand data needs and requirements.
- Optimizing performance of data systems, queries, and storage solutions.
- Implementing data quality monitoring and alerting systems to ensure optimal system performance.
- Maintaining comprehensive documentation for data workflows and schemas.
- 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 (e.g., GDPR, HIPAA).
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Opportunity to work on cutting-edge data projects.
- Collaborative team environment.
- Ongoing training and development opportunities.
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