QA Automation Engineer

Remote

Full Time

Experienced

About the Role:
The India based, remote/telecommute Sr. QA Automation Engineer will hit the ground running and have Expert level Python skills. This role will be critical to the success of Dynatron’s data quality efforts. Your focus will be ensuring our data pipelines, data warehouse, and overall data quality are rock-solid and will support the company’s strategic vision around data. This is a hands-on development role.

Important Information:

Because we have no office in India, this job will not be a traditional employee role.
This will be an “Independent Contractor” role.
No taxes will be taken out because you are an independent contractor.
No benefits are provided for Health Insurance.
India Gazetted Holidays and 24 days PTO are included in the contract.

Application and Interview Process:

Complete an application on the company website: submit resume with job application, submit minimum 60-second introduction URL using Vocaroo (https://vocaroo.com/) with your application.
Please copy and paste your recorded Vocaroo link in the application process.
Participate in online Screening interview between 8:00AM - 2:00PM Eastern Time (USA)
Participate in Round 1 online video interview between 8:00AM - 2:00PM Eastern Time (USA)
Submit a technical assessment of a few small tasks and be prepared to speak to your solutions during a follow up technical interview if successful
Participate in Round 2 (Technical) online video interview between 8:00AM - 2:00PM Eastern Time (USA)

Required Responsibilities:

Test Automation

Advanced level experience with Python and SQL are required. Must be hands-on!
Work closely with manual testers and data engineers to define automation test cases for data pipelines and data warehouses
Design and Implement scalable and reusable frameworks to execute automated tests for all critical steps in the data pipelines.
Produce data quality reports that can be easily used and accessed by stakeholders

Collaboration and Communication:

Analyze test results and work with data engineers to determine root cause of failures
Document Test Plans and Procedures
Work with manual testers and engineers to analyze current testing processes and suggest improvements through automation

Agile:

Participate in all Scrum ceremonies
Create Epics and Stories associated with Data Quality efforts as necessary

Required Skills:

5 years of hands-on Python development experience using testing frameworks and libraries
10 years experience with SQL queries on multiple database platforms
5 years experience analyzing JSON and XML files
10 years experience with advanced use of Excel
5 years experience testing API’s
Ability to effectively communicate with technical and non-technical resources
Lead by example, demonstrating a commitment to excellence, integrity, and professionalism in all aspects of your work.

Additional Qualifications:

5 years experience with data quality implementations in data warehouses, including Snowflake
10 years experience working with relational databases such as MySQL and Vitess (sharded databases)
Experience with Big Data technologies technologies is a plus.
Excellent problem-solving skills with a strong attention to detail.
Ability to work both independently and as part of a team.
Excellent verbal and written communication skills.

Hours of Expectation:

Critical hours to be available for collaboration with US team are:
6:30PM-11:30PM IST (India)
9:00AM-2:00PM EST (USA)
8:00AM-1:00PM CST (USA)
7:00AM-12:00PM MST (USA)
6:00AM-11:00AM PST (USA)
The balance of 3 hours each day can be worked before or after core hours at your discretion

Compensation Range: $30,000 (USD) / 26 Lakhs (INR)

Dynatron Software is an Equal Opportunity Employer and encourages all qualified individuals to apply.

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1. Please go to https://vocaroo.com
2. Complete a 60 second audio introduction (about yourself and relevant technical skills).
3. Then copy/paste the link to your completed audio introduction below.*

How would you rate your Python experience on a scale of 1 to 5? With 5 being an Expert Level.*

What automated Data Quality Frameworks have you personally implemented?*

What technologies did you use to implement these frameworks (Python, Commercial-off-the shelf, etc)*

Have you implemented data quality frameworks around file formats CSV and XML? Against API's? Against Snowflake or other data warehouses (and if so which ones)?*

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QA Automation Engineer

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