
Data Engineering Technical Lead
2 days ago
Our company is seeking an experienced Technical Lead Engineer to join our data engineering team. This individual will be responsible for architecting, implementing and scaling our end-to-end data platform built on AWS S3, Glue, Lake Formation and DMS.
About the Role:
- Owning the design and scalability of the data lake architecture for both streaming and batch workloads using AWS-native services.
- Leading the development of ingestion, transformation and storage pipelines using AWS Glue, DMS, Kinesis/Kafka and PySpark.
- Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
- Driving data productization by enabling API-first and self-service access to curated datasets for fraud detection, reconciliation and reporting use cases.
- Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment.
Requirements:
- At least 7 years of experience in data engineering.
- Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS and Redshift Spectrum.
- Expertise in designing data pipelines for real-time, streaming and batch systems including schema design, format optimization and SLAs.
- Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation.
We Offer:
- A dynamic and collaborative work environment.
- The opportunity to work with cutting-edge technologies.
- Ongoing training and professional development opportunities.
What We Look For:
- A strong passion for data engineering and innovation.
- Excellent problem-solving and communication skills.
- Able to work effectively in a fast-paced environment.
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