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Data ETL Engineer @ Ahead

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 Data ETL Engineer

Job Description

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: Bachelors 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Ahead
Location(s): Hyderabad

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Keyskills:   etl python data pipelines data catalog parsing analytics cloud data quality weaving automation data modeling spark design cloud infrastructure aws digital transformation

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