Senior Data Engineer (Remote - India based candida...

Come join our growing team! You will have the opportunity to work in a fast-paced, creative environment where your ideas matter and your work will have a significant impact for customers and their teams to understand the employee lifecycle journey.

Please note: This position is fully remote; because most of our team members are in Bangalore, we prefer candidates who are located in Bangalore or in nearby cities like Pune, Chennai, Hyderabad.

Applied Training Systems, Inc. (ATSI) is seeking a Senior Data Engineer to guide the next phase of growth with our company’s brands and product portfolio. The ideal candidate for this critical position will have a deep track record designing and managing enterprise data warehouses and experience translating stakeholder feedback into enterprise solutions.

About this role:

This position reports to the Director, Business Intelligence and will collaborate extensively with Product and Engineering teams across the ATSI portfolio (Recruiterbox, Reviewsnap, Trakstar, and Mindflash).

The Business Intelligence team you join will deliver a new intelligent analytics and data warehouse solution, built on AWS, that delivers meaningful employee lifecycle insights to customers. This is a greenfield opportunity to join a growing company and architect a modern data solution and contribute to a strategically valuable, highly visible initiative.

About our brands:

Our suite of employee management software solutions delivers an integrated approach to talent development. At Trakstar and Reviewsnap we're modernizing and streamlining the performance review process, providing relevant solutions to today's companies. Recruiterbox delivers recruitment software that features numerous tools to make the hiring process easier and more productive. Mindflash is a leading online Learning Management System, making it easy to provide employee, associate, and/or customer training in the cloud. These tools used together create a market-defining employee lifecycle management solution that charts a path for a workforce from hire to retire.

What we do:

Our company mission is to up-level employee performance from hire to retire, because we believe people are happier and healthier when they know their work matters. At Applied, we hire only the best people - individuals who impress their prospects and clients with their industry knowledge of best practices and with insights into how Applied’s ever-expanding employee management tools can help their businesses grow and scale.

What you’ll do:

• Design and architect our Extract/Load/Transform (ELT) and Enterprise Data Warehouse implementation

• Optimize and aggregate raw data into consumable formats for downstream multi-client embedded dashboard analytics

• Work cross-functionally across the entire organization to advance our data strategy and foster data literacy

• Monitor and maintain production data pipelines

• Ensure transformed data meets established quality standards through the creation of automated tests to ensure reliable, timely, and accurate data

• Ensure our systems are resilient and highly scalable

• Respond to production emergencies with a steady, thoughtful, detail-focused mindset, providing transparency and frequent communication on status of remediation

You’re best for this role if you:

• Possess expert knowledge of cloud data warehouse design principles, data lake design, and first-hand experience implementing end-to-end ELT supporting Business Intelligence initiatives

• Have expert level SQL and Python skills

• Have experience using data orchestration tools such as Airflow, PySpark and dbt

• Possess demonstrated experience working with AWS services such as Glue, Redshift, RDS (Postgres/MySQL), S3, and QuickSight

• Have strong proficiency working with scripting languages and understanding of common web application design frameworks

• Can prioritize and present database improvement plans with clear, user-friendly language

• Have experience delivering analytic solutions in a SaaS software company

Your qualifications:

• 5+ years of experience successfully delivering data engineering solutions that support business critical analytic solutions

• Strong problem solver and collaborator with a track record of getting big things done

• Self-starter with the ability to think and operate enterprise-wide in order to implement holistic systems and solutions supporting critical business needs

• History of leading and influencing across technical and non-technical audiences

• BS or MS degree in Computer Science, Engineering, or a related technical field

• Experience working with a US-based company preferred

• AWS Certification is a plus

What do you receive?

• Exposure to truly challenging problems that affect thousands of users

• An opportunity to work with passionate, smart problem-solvers like yourself

• Remote work

• MacBook Pro

• Employee Provident Fund (EPF)

• Open PTO policy

• Medical Insurance

• Competitive salary based on experience