
Data Solutions Architect
4 days ago
Job Title: Data Solutions Architect
We are seeking a highly skilled professional to design and develop large-scale data pipelines and distributed data processing systems.
Key Responsibilities:
- Design, implement, and optimize scalable data architectures using Scala, Spark, Python, and Apache Kafka.
- Work extensively with data processing and transformation tools like Jupyter Notebooks and SQL.
- Develop and integrate streaming solutions using NiFi / Airflow for real-time data processing.
- Collaborate with cross-functional teams to ensure seamless integration of data systems.
Mandatory Skills:
- Scala – Minimum 3+ years of hands-on experience.
- Strong expertise in Spark (PySpark) and Python for data processing.
- Hands-on experience with Apache Kafka for real-time data streaming.
- Knowledge of NiFi / Airflow for orchestration and automation.
- Proficiency in SQL and query optimization for efficient data analysis.
- Good understanding of Cloud Architecture for scalability and reliability.
Bonus Points:
- Experience with cloud-based data platforms like AWS or GCP.
- Familiarity with containerization using Docker and Kubernetes.
- Understanding of security best practices for data protection.
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