Senior Data Engineer

Job Overview

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

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

Technical Requirements

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

Nice to Have

• Experience working with IoT data pipelines and streaming data systems