Clarasight provides global enterprises with a real-time Carbon Planning & Intelligence platform to power forward-looking emissions management, so they can close the gap between climate-related actions and intentions. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.

Clarasight is seeking a stellar person with exceptional data and engineering talent that is profoundly committed to reinventing how enterprises close the gap between climate-related intent and action through building the Carbon Planning and Analytics platform.

Job Overview

We are seeking a highly skilled Quality Assurance (QA) Engineer with experience in data quality and performance testing to ensure the accuracy, completeness, and quality of data across all stages of the data lifecycle. This role will focus on validating data, optimizing performance, and developing automation for ongoing QA processes.

Responsibilities

• Source Data Validation:
• Perform validation of source data to ensure data integrity, completeness, and accuracy.
• Collaborate with data providers to address discrepancies and ensure data meets quality standards.
• Document and resolve data quality issues, inconsistencies, and gaps.
• ETL and Data Pipeline QA:
• Validate ETL (Extract, Transform, Load) processes to ensure accurate data transformations and loading.
• Design and execute test plans to verify the correct implementation of business rules within ETL processes.
• Performance Testing:
• Conduct performance testing to ensure efficiency and scalability across data pipelines, databases, and reports.
• Identify and resolve bottlenecks to optimize system performance.
• Functional and Reporting QA:
• Conduct functional testing to verify the correct functionality of implemented features.
• Ensure data reports accurately reflect the underlying data and meet business requirements.
• Automation and Coding:
• Develop automated test scripts for data validation, ETL processes, and report functionality to streamline QA processes.
• Write clean and efficient code to automate recurring data validation and performance tests.

Requirements

• Strong coding skills with 3+ years of experience in languages like Python, Javascript, or similar for writing automated tests.
• Proven experience in data quality assurance, testing, and performance optimization.
• Strong knowledge of database systems, ETL processes, and reporting tools.
• Experience with SQL and data query tools for data validation.
• Familiarity with BI tools (e.g., Tableau, Power BI, etc.).
• Solid understanding of performance testing methodologies and tools.
• Experience with performance testing tools (e.g., JMeter, LoadRunner, etc.).
• Excellent analytical skills and attention to detail.

Our Tech Stack

• AWS
• Databases: RDS / Dynamo / PostgreSQL/ Aurora / ClickHouse
• ETL: Apache Airflow / DBT
• Software: TypesScript / ReactJs / Next.js / Node.js
• Reporting: Tableau Cloud