
Data Engineering Lead
2 weeks ago
We are seeking a highly skilled and experienced Data Engineering Lead to spearhead the development of a cutting-edge data ingestion framework.
Key Responsibilities:- Data Ingestion Framework Development:
- Achieve scalability by designing, developing, and maintaining an end-to-end data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources.
- Leverage AWS services like AWS Glue, Lambda, EMR, ECS, EC2, and Step Functions to build robust, resilient, and automated data pipelines.
- Data Quality & Validation:
- Develop and implement comprehensive data quality checks, validation routines, and error-handling mechanisms to ensure the accuracy and integrity of incoming data.
- Establish proactive monitoring, logging, and alerting systems to promptly identify and resolve data quality issues.
- API Development:
- Design and implement secure, high-performance APIs to facilitate seamless integration of data services with external applications and internal systems.
- Create detailed API documentation and establish standards for API security, versioning, and performance optimization.
- Experience & Technical Skills:
- Professional Background: A minimum of 5 years of relevant experience in data engineering, emphasizing analytical platform development.
- Programming Skills: Proficiency in Python and/or PySpark, SQL for ETL processes and large-scale data manipulation.
- AWS Expertise: Extensive experience using AWS services including AWS Glue, Lambda, Step Functions, and S3 for data ingestion frameworks.
- Data Platforms: Familiarity with big data systems (e.g., AWS EMR, Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, Postgres, or Redshift.
- API Development: Proven experience in designing and implementing RESTful APIs and integrating them with external and internal systems.
- CI/CD & Agile: Hands-on experience with CI/CD pipelines (preferably with GitLab) and Agile development methodologies.
- Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication and interpersonal skills with the ability to work independently and collaboratively.
- Capacity to quickly learn and adapt to new technologies and evolving business requirements.
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