Principal Data Architecture Specialist
2 weeks ago
Key Responsibilities:
- Analyze and improve existing data systems to ensure optimal performance.
- Lead junior engineering teams to meet business objectives.
- Design, deploy, and maintain enterprise data platforms.
- Identify opportunities to enhance data platform efficiency and implement enhancements to meet service-level agreements (SLAs).
- Collaborate with clients to understand their data needs, provide recommendations, and deliver solutions that meet their requirements and expectations.
Required Skills:
- Proficient in cloud platforms for deploying and managing data solutions.
- Strong expertise in building and optimizing ETL processes for efficient data movement and transformation.
- Knowledge of data warehousing concepts and experience working with data warehouse solutions like Amazon Redshift, Snowflake, or Google BigQuery.
- Advanced understanding of Python and SQL programming languages.
- Familiarity with big data technologies for processing and analyzing large volumes of data.
- Experience in managing and optimizing relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Ability to resolve code errors and find solutions for issues in the pipeline.
Personal Qualities:
- Skilled in handling multiple projects simultaneously.
- Effective communication and collaboration skills to engage with end users.
- Leadership qualities to mentor junior team members and contribute to their professional growth.
- Strong analytical and problem-solving skills to address challenges and troubleshoot issues in data engineering processes.
- Attention to detail to ensure data accuracy and quality.
- Commitment to continuous learning to stay updated on industry trends and best practices in data engineering.
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