Job Description

We are seeking a highly skilled Senior Data Engineer to design, build, and scale modern data platforms that power analytics and machine learning initiatives. This role focuses on developing cloud-native data solutions, ensuring high-performance data pipelines, and enabling data-driven decision-making across complex environments.

Key Responsibilities

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  Design and implement end-to-end data architectures across ingestion, storage, processing, orchestration, and serving layers on AWS
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  Build and maintain scalable ETL/ELT pipelines for multi-source data ingestion
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  Develop and manage feature stores to support advanced analytics and machine learning use cases
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  Collaborate with ML and analytics teams to productionize data and ML workflows
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  Monitor and optimize data platform performance, reliability, and scalability
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  Ensure best practices in data quality, governance, and security

Technical Requirements

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  5+ years of experience in data engineering, building complex data pipelines and architectures
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  Strong expertise in Python (Pandas, NumPy) for data processing
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  Advanced proficiency in SQL and relational databases
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  Hands-on experience with AWS data services and serverless architecture
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  Solid experience working in Linux environments and Bash scripting
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  Strong understanding of data governance, privacy, and quality frameworks

Nice to Have

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  Experience working with IoT data pipelines and streaming data systems