
Leading Data Architect and Engineer
22 hours ago
We are seeking a seasoned data engineering leader to design, develop, and manage large-scale data ingestion frameworks. As a key member of our team, you will be responsible for architecting, developing, and maintaining end-to-end data pipelines that efficiently extract, transform, and load data from diverse sources.
Key Responsibilities:
1. Design and Development: You will lead the development of data ingestion frameworks using AWS services, including AWS Glue, Lambda, Step Functions, and S3.
2. Framework Optimization: You will use your expertise in big data systems and databases to optimize data pipelines for scalability, resilience, and automation.
3. Validation Processes: You will develop and implement automated data quality checks, validation routines, and error-handling mechanisms to ensure the accuracy and integrity of incoming data.
4. Monitoring & Reporting: You will establish comprehensive monitoring, logging, and alerting systems to proactively identify and resolve data quality issues.
5. API Development: You will design and implement secure, high-performance APIs to enable seamless integration of data services with external applications and internal systems.
Required Skills and Qualifications:
1. Experience & Technical Skills: At least 5 years of relevant experience in data engineering with a strong emphasis on analytical platform development.
2. Programming Skills: Proficiency in Python and/or PySpark, SQL for developing ETL processes and handling large-scale data manipulation.
3. AWS Expertise: Extensive experience using AWS services including AWS Glue, Lambda, Step Functions, and S3 to build and manage data ingestion frameworks.
4. Data Platforms: Familiarity with big data systems and databases like DynamoDB, Aurora, Postgres, or Redshift.
Soft Skills:
1. Strong problem-solving abilities and attention to detail.
2. Excellent communication and interpersonal skills with the ability to work independently and collaboratively.
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