Job Description

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).
2. Python Development – For data processing, AWS integration, and automation.
3. 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.

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