Senior Data Engineer - Redshift, Python & AWS

Senior Data Engineer - Redshift, Python & AWS

Experience: 6+ years
Salary : AUD 75,000-95,000 / year
Preferred Notice Period: Within 30 Days
Shift: 07:00 AM to 04:00 PM IST
Opportunity Type: Remote
Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
Data Integration, DBT, ETL, large datasets, AWS, Redshift
Good to have skills :
Communication Skills, Problem Solving Ability

Our Hiring Partner is Looking for:
Senior Software Engineer (Data Analytics & Engineering) - REMOTE who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
We’re working hard to achieve an ambitious, world-shaping goal: to provide 1 billion students with access to high-quality education by 2050.

That’s why we need a Senior Software Engineer, with expertise in Amazon Redshift, Python, dbt (Data Build Tool), API integration, and AWS. This role will be primarily responsible for developing and maintaining scalable data pipelines, integrating data from multiple sources, and ensuring that our data architecture supports business intelligence, reporting, and analytics requirements. You will collaborate with crossfunctional teams to build and optimize our data infrastructure and provide clean, high-quality data to the business.
Additionally, you will bring your Product Engineering nous to the fore, by helping us build great products for users, and help us deliver our signature high-quality experience for our users worldwide — ensuring our product features are reliable, performant and set up to scale. We want to do everything possible to ensure our users enjoy their experience and love our platform. With countless opportunities to make an impact, you’ll help us solve exciting engineering challenges and deliver improved functionality to take Cadmus even further.

Must have skills:
6+ years of experience overall with 3+ years in data engineering . Should have built data infrastructure from scratch., and data pipelines., Data Engineering & ETL: Experience with AWS Redshift, Retool

Good to have skills: Programming: Python (preferred) for data automation and scraping

Requirements
● Data Engineering: Overall 6+ years of experience, with 3+ years in data engineering with expertise in Amazon Redshift, Python, and AWS. Hands-on experience with dbt (Data Build Tool) for managing SQL transformations and data models. Extensive experience with AWS services such as S3, Lambda, EC2, RDS, and CloudWatch. Expertise in data modelling concepts and designing efficient data structures (e.g., star schemas, snowflake schemas) in a data warehouse environment. Experience building ETL/ELT pipelines and integrating data from multiple sources, including structured and unstructured data. Knowledge of Jinja templating in Python, and good experience in Airflow and MWAA is a plus.
● Analytics: 2+ years of working with large, complex datasets, with advanced knowledge of SQL for querying and optimizing large datasets in Redshift. Experience in building large-scale data scraping process for business intelligence purposes. Have worked with data analysts to cleanup data anomalies and building dashboard reports.
● Startup DNA: You’re flexible, comfortable with ambiguity, and have experience scaling systems to support rapid growth. You have been a one-person army when needed, or worked as a founding engineer. You bring your passion and work ethic to the table every day, and constantly set the example for others. You are constantly looking to upskill yourself, and find ways to improve upon the status quo.
● BONUS POINTS: Experience with DevOps practices for managing infrastructure and CI/CD pipelines (Docker, Kubernetes). You also have 2+ years of professional experience in backend or full stack software development. You can develop rich front-end applications in React. You have written backend services in Elixir / Go / Python / Ruby, with GraphQL and REST APIs. You have built things from zero.
● BONUS POINTS: Strong interest in AI/ML, with an understanding of machine learning pipelines and how data engineering supports AI/ML initiatives. Ability to conceive and run experiments, and finetune models

Interview Process - 5 Rounds

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Click ‘Continue to Video Resume’' & Record 2-3 mins video showcasing your skills
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
Born out of partnership with the University of Melbourne in Australia, Cadmus was purposefully built to break down global learning barriers by providing educators and diverse student cohorts with access to high-quality, pedagogical assessment anywhere, anytime. Built on rich, student-centric values, Cadmus empowers individuals to achieve their highest potential and graduate with the critical skills and knowledge to profoundly impact our workforces, communities, and evolving world.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!