The Role
The Data ETL Engineer will develop ETL processes using AWS Glue, manage data cataloging, design data models, and ensure data quality.
Summary Generated by Built In
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
Owns the ingestion, transformation, modeling, and operational readiness of all data supporting RAG, embeddings, agent workflows, and the Memory/State layer.
Key Responsibilities
- Build ETL using Glue Spark, Glue Python Jobs, Glue Workflows.
- Manage Glue Data Catalog and enforce Lake Formation permissions.
- Design Bronze/Silver/Gold data modeling and schema evolution.
- Implement DMS ingestion and MSK/Kinesis streaming.
- Prepare data for embeddings including cleansing, parsing, metadata enrichment.
- Build data quality frameworks (Great Expectations, Deequ).
Education
- Minimum Required: Bachelor’s degree in Computer Science, Information Systems, or similar
Skills Required
- 4+ years of hands-on experience in AWS ETL engineering, streaming ingestion, and building data pipelines for text-heavy workloads.
- Deep AWS ETL expertise.
- Strong schema management.
- Experience with text-heavy pipelines.
- Proven ability building governed Lakehouse systems
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
Top Skills
Aws Etl
Data Modeling
Deequ
Dms
Glue Data Catalog
Glue Python
Glue Spark
Glue Workflows
Great Expectations
Kinesis
Lake Formation
Msk
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The Company
What We Do
AHEAD builds platforms for digital business. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help enterprises deliver on the promise of digital transformation.
