Senior Data Engineer - AWS Timestream

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Key Responsibilities:

• Design, implement, and manage time-series databases using Amazon Timestream to support real-time data ingestion, storage, and querying.

• Develop efficient time-series data models, optimize schema designs, and configure data retention policies for performance and cost efficiency.

• Build and maintain data pipelines to ingest high volumes of time-series data from various sources into Timestream.

• Develop and optimize queries to support real-time dashboards, alerting systems, and analytics reports.

• Conduct performance tuning and troubleshooting for time-based queries, ensuring low latency and high availability.

• Evaluate existing time-series data storage solutions and recommend improvements or migrations to Timestream where applicable.

• Implement security, access control, and data governance policies for time-series data in alignment with organizational and regulatory requirements.

• Provide training and knowledge transfer to other teams regarding best practices and efficient use of Amazon Timestream.

Required Skills:

• Overall 4+ years of Data Engineering experience

• 3+ years of hands-on experience with Amazon Timestream or other time-series databases (e.g., InfluxDB, TimescaleDB, etc.).

• Strong understanding of time-series data modeling, retention policies, and optimization techniques.

• Proficiency with AWS services, including AWS Lambda, Amazon Kinesis, Amazon S3, AWS Glue, and other relevant data services.

• Expertise in SQL, with a focus on time-series query optimization and aggregation functions.

• Experience working with large datasets and optimizing time-series data storage for cost and performance.

• Strong troubleshooting skills, particularly for performance bottlenecks and query optimization in time-series databases.

• Familiarity with security best practices, including encryption, IAM roles, and fine-grained access control in AWS.

• Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).

Good to Have:

• Expertise in Python