Amazon Timestream Consultant

Company Profile

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

• Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
• Headquartered in Boston, with 3200+ data science professionals across 11 global offices
• Winner of 3X NVIDIA AI Partner of the year award
• Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
• Winner of 3X AWS AI/ML Partner of the Year award
• Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
• Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
• Winner of Best in Business Award in Established Business category by INC., 2022
• Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
• Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
• Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform

For more details, visit our Website or our LinkedIn Page

Experience Level: 4+ years of experience

Location: USA/Canada (Remote)

Job Overview:

• We are seeking a highly skilled and experienced Amazon Timestream Specialist to join our data engineering team.
• The ideal candidate will possess deep expertise in Amazon Timestream and time-series data management, with a focus on designing, implementing, and optimizing time-series databases for real-time data processing and analytics.
• This role involves working closely with clients to evaluate performance and implement solutions tailored to their needs

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
• 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).

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

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