Data Architect Specialist
6 days ago
We are seeking a skilled Data Engineer Architect to design and implement scalable data pipelines and architecture that facilitate data ingestion, processing, and analysis.
Key Responsibilities:
- Design and implement robust data architectures using PySpark that support ETL processes, data warehousing, and analytics platforms.
- Build, optimize, and maintain data pipelines for large-scale data processing, ensuring data quality, reliability, and performance.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
- Identify and implement best practices for data processing and storage, including performance tuning and resource optimization.
- Evaluate and recommend data engineering tools and technologies, keeping abreast of industry trends and advancements.
- Create and maintain comprehensive documentation for data architecture, pipelines, and processes.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering or related roles, with a strong focus on big data technologies.
- Proven expertise in PySpark and experience with Apache Spark frameworks.
- Proficiency in data modeling, ETL processes, and data warehousing concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and associated data services.
- Strong programming skills in Python, with familiarity in other languages such as Scala or Java being a plus.
- Knowledge of SQL and experience with relational and NoSQL databases.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
Preferred Skills:
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with machine learning frameworks and libraries.
- Understanding of data governance, security, and compliance best practices.
If you are passionate about data engineering and are looking to make a significant impact within a forward-thinking organization, we would love to hear from you.
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