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Job Profile

We are seeking an experienced Senior Data Engineer with 4+ years of experience, strong understanding of large, complex, and multi-dimensional datasets. The ideal candidate will design, develop, and maintain scalable data pipelines and transformation frameworks using AWS native tools and modern data engineering technologies.

Responsibilities:

Design, develop, and optimize data ingestion, transformation, and storage pipelines on AWS.
Manage and process large-scale structured, semi-structured, and unstructured datasets efficiently.
Build and maintain ETL/ELT workflows using AWS native tools such as Glue, Lambda, EMR, and Step Functions.
Design and implement scalable data architectures leveraging Python, PySpark, and Apache Spark.
Develop and maintain data models and ensure alignment with business and analytical requirements.
Work closely with stakeholders, data scientists, and business analysts to ensure data availability, reliability, and quality.
Handle on-premises and cloud data warehouse databases and optimize performance.
Stay updated with emerging trends and technologies in data engineering, analytics, and cloud computing.

Key Skills:

Python, SQL, Spark, ETL, Cloud (Azure/AWS), Redshift/Snowflake

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