Sr Data Engineer IntePros is seeking a Data Engineer II with a strong foundation in SQL, Python, and AWS to join a team focused on building robust, scalable, and high-performance data systems. This role will specialize in managing time-series data using Amazon Timestream, optimizing complex data workflows, and collaborating closely with engineering and data science stakeholders to ensure the reliability and performance of cloud-native pipelines. This is an exciting opportunity for a technically strong and curious data engineer to work on cutting-edge infrastructure that supports real-time analytics, automation, and scalable data ingestion across a rapidly evolving cloud environment. Key Responsibilities • Design, implement, and optimize complex SQL queries and time-series database schemas. • Build and manage cloud-native data pipelines across AWS services including Lambda, Redshift, and S3. • Develop Python-based automation and processing logic for real-time and batch data ingestion. • Define data retention policies, performance optimizations, and monitoring strategies for time-series datasets. • Work cross-functionally with developers and technical teams to troubleshoot issues and scale systems. • Apply best practices in cloud-based data architecture, backup, disaster recovery, and performance tuning. • Participate in strategic planning for data growth, analytics enablement, and system resilience. Top 3 Must-Have Skills 1. SQL Mastery – Complex querying, schema design, and performance optimization (4–5 years). 1. Python Development – For data processing, AWS integration, and automation. 1. AWS Cloud Services – Strong experience with S3, Redshift, Lambda, and especially Amazon Timestream. Skills & Experience Required • 4–5 years of experience in data engineering or infrastructure-focused roles. • Hands-on experience with Amazon Timestream or other time-series databases. • Proficiency with Python and libraries such as Pandas, SQLAlchemy, or PySpark. • Expertise in cloud data management, pipeline performance tuning, and automation in AWS. • Strong troubleshooting and problem-solving skills for high-scale environments. • Understanding of NoSQL and relational database performance management and disaster recovery. • Bachelor’s degree in Computer Science, Data Engineering, or a related field. Preferred Qualifications • Experience scaling cloud-based infrastructure for real-time analytics. • Familiarity with performance metrics related to infrastructure operations or time-series data. • Exposure to DevOps principles and data observability tools.