
Data Solutions Specialist
1 week ago
We are seeking a skilled Data Solutions Specialist to design, build, and maintain scalable data architectures that support business analytics, reporting, and machine learning initiatives.
Key Responsibilities:
- Develop, construct, test, and maintain data architectures and pipelines.
- Design and optimize ETL workflows to ingest data from various sources.
- Collaborate with data scientists, analysts, and stakeholders to understand data needs.
- Ensure data quality, integrity, and security across platforms.
- Monitor and troubleshoot data processing issues.
- Implement data modeling and warehousing solutions.
- Automate repetitive data engineering tasks and optimize system performance.
- Maintain documentation of data processes and systems.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in data engineering or related roles.
- Strong proficiency in SQL and experience with programming languages such as Python, Scala, or Java.
- Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
- Experience with cloud platforms (AWS, Azure, GCP) and their data services.
- Familiarity with data warehousing concepts and tools.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and communication skills.
Preferred Skills:
- Experience with workflow orchestration tools like Airflow or Luigi.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and DevOps practices.
- Experience in machine learning pipeline integration is a plus.
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