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
- SQL Mastery – Complex querying, schema design, and performance optimization (4–5 years).
- Python Development – For data processing, AWS integration, and automation.
- 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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