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Company

Quantiphi · 4 hours ago

Amazon Timestream Consultant

United States

Contract

Remote

Mid Level

4+ years exp

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Artificial Intelligence (AI)Cloud Data Services

Growth Opportunities

H1B Sponsor Likely

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Amazon TimestreamTime-series databasesData EngineeringAWS servicesSQLTime-series data modelingPerformance tuningSecurity best practicesLarge datasets

Required

Overall 4+ years of Data Engineering experience

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

Knowledge 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)

Company

Quantiphi

Glassdoor

4.3

Quantiphi is a digital engineering company that provides data science and machine learning software and services.

Founded in 2013

Marlborough, Massachusetts, USA

1,001-5,000 employees

http://www.quantiphi.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (32)

2022 (78)

2021 (91)

2020 (46)