Quality Assurance Engineer

Fractal; United States; Remote; USD 120,000 - 131,000; Full time

Job summary

An innovative company is seeking a skilled IT Recruiting Manager to join their dynamic team. In this role, you'll play a vital part in ensuring data accuracy and quality across various platforms. You'll collaborate with IT and data management teams to design effective data strategies while generating insightful reports for management. This position offers a unique opportunity to work in a forward-thinking environment, where your contributions will directly influence the company's success. If you're passionate about data and quality assurance, this role is tailored for you.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Plan

Paid Holidays

Parental Leave

Flexible PTO Policy

Qualifications

• Proficiency in data analysis tools and statistical software.
• Experience with ETL and ELT processes for data management.

Responsibilities

• Analyze and validate data for accuracy and completeness.
• Develop data quality standards and resolve issues.

Skills

Data Analysis

Quality Assurance

Data Validation

ETL

ELT

Alteryx

Snowflake

Databricks

SQL

Statistical Software

Education

Bachelor's Degree in Computer Science or related field

Tools

Alteryx

Snowflake

Databricks

Job description

This range is provided by Fractal. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $131,000.00/yr

Direct message the job poster from Fractal

IT Recruiting Manager at Fractal Analytics

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Key Responsibilities

• Data Validation: Analyze and validate data for accuracy, completeness, and consistency.
• Quality Assurance: Develop and implement data quality standards and processes.
• Issue Resolution: Identify and resolve data quality issues, ensuring compliance with regulations.
• Collaboration: Work with IT and data management teams to design and implement data strategies.
• Reporting: Generate data reports and presentations for management.

Skills and Qualifications

• Technical Skills: Proficiency in data analysis tools, statistical software, and databases.
• To align technical skills with tools like Alteryx, Informatica IDMC, Snowflake, Databricks, ETL, and ELT, here are some specific skills and proficiencies you might focus on:
• Alteryx
• Proficiency in building workflows for data preparation, blending, and analysis.
• Familiarity with Alteryx Designer for creating repeatable workflows.
• Knowledge of Alteryx Server for deploying and managing workflows.
• Experience with Alteryx Connect for metadata management.
• Expertise in creating and managing data integration mappings.
• Familiarity with Pushdown Optimization (PDO) for ELT processes.
• Knowledge of hierarchical schema configuration and JSON data parsing.
• Experience with cloud data integration and managing connections (e.g., AWS S3, Snowflake).
• Snowflake
• Understanding of Snowflake's architecture, including virtual warehouses and data sharing.
• Proficiency in SQL for querying and managing data in Snowflake.
• Experience with Snowflake's data integration capabilities, such as loading data from external sources.
• Familiarity with Snowflake's security features, including role-based access control.
• Databricks
• Knowledge of Delta Lake for managing structured and unstructured data.
• Proficiency in Apache Spark for big data processing.
• Experience with Databricks notebooks for data engineering and machine learning tasks.
• Familiarity with Databricks' integration with cloud platforms like Azure and AWS.
• ETL (Extract, Transform, Load)
• Expertise in designing and implementing ETL pipelines for data migration and transformation.
• Familiarity with data cleansing and validation techniques.
• Knowledge of scheduling and monitoring ETL workflows.
• ELT (Extract, Load, Transform)
• Understanding of ELT processes, where transformations occur within the target system.
• Experience with tools that support ELT, such as Snowflake and Databricks.
• Proficiency in optimizing query performance for large-scale data transformations.
• These skills will help ensure alignment with the technical requirements of these tools and platforms.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 to $131,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Finance

• Industries

  Business Consulting and Services

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