Data Engineer- Part time (3 days a week)
ApplyBoard
This job is no longer accepting applications
See open jobs at ApplyBoard.See open jobs similar to "Data Engineer- Part time (3 days a week)" Drive Capital.ApplyBoard simplifies the study abroad search, application, and acceptance process by connecting international students, recruitment partners, and educational institutions on one intuitive and personalized platform. ApplyBoard is a mission-driven, hyper-growth organization. It has been attracting dedicated individuals for more than eight years who are inspired every day to break down barriers to international education and take their careers to new heights at a company that will invest in their career growth. Our six core values are our compass in our mission to Educate the World and the foundation of our unique company culture. As an organization built on a foundation of diversity, it’s important that our team members are representative of the students from more than 150 countries that we support.
The Role:
The data engineering team is an experienced team, responsible for supporting our product development and the entire organization. In addition to building ETL pipelines to automate analytics and building integrations between systems , the team is responsible for building and maintaining the infrastructure used to host these pipelines and integrations. The team is also responsible for building and maintaining data access components and providing tooling and analytics that are required for our predictive/ML models.
What you will be doing:
Build and maintain analytics with Python (pandas/pyspark)
Build and maintain ETL pipelines on AWS (EC2/Glue ETLs/Airflow)
Build and maintain Infrastructure components to support our pipelines and integrations(CDK)
Setup and maintain integrations between different systems to enable data flow between these systems (Appflow)
Actively contribute to shaping the direction of our data platform including architecting our data warehouse, machine learning deployment infrastructure, and ETL/ELT workflows
Gather and understand data requirements by working with stakeholders across multiple teams
Working closely with Engineering, IT, and Security to build processes and standards for our data science platform and how it integrates with data sources across the company
Developing ingestion, transformation, and cleansing pipelines to prepare a variety of structured and unstructured data sources for data analytics
Maintaining our data platform including managing and improving our redshift cluster and monitoring our data pipelines
Developing infrastructure using CDK to deploy data products to internal and external users
Providing operational support to the data science team
Being a go-to person about data-related questions company-wide
What you bring to this role:
Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical discipline
4+ years experience in the data engineering field
Experience in setting up and maintaining a high volume of ETL pipelines
Experience in setting up ETL orchestration
Familiarity with infrastructure as code (CDK or Terraform) is a plus
Advanced knowledge of SQL and knowledge of NoSQL (MongoDB)
Ability to communicate effectively with people who are both highly technical, and non-technical alike
Strong analytical skills and an understanding of data science
Driven, passionate and creative, and thrives in a fast-paced environment
Knowledge of data modeling and system design using UML
Experience with AWS computing (eg. EC2, Lambda) and data storage technologies (eg. Redshift)
Tech Stack:
PostgreSQL
Python
Pandas
Nice to have Pyspark
Nice to have CDK or Terraform
AWS
About ApplyBoard
ApplyBoard empowers students around the world to access the best education. With more than 800,000 students from over 150 countries helped with their journey in less than a decade, we are just getting started.
ApplyBoard’s 1,350 global team members in 30 countries assist students and our 1,500 partner institutions by empowering the international student sector with innovative technology and insights. As a four-time consecutive Deloitte Fast 50 and Fast 500 ranked company, ApplyBoard is growing and scaling like few other companies. On top of our strong growth, our people are growing personally and professionally. ApplyBoard India was Great Place to Work® Institute (India) certified for outstanding employee experience and workplace culture.
Thank you for your interest in joining the ApplyBoard Team and being part of our mission to Educate the World. While we are lucky to attract a high level of interest in each of our roles, only qualified applicants will be contacted and selected for an interview.
ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates in all aspects of the hiring and selection process.
This job is no longer accepting applications
See open jobs at ApplyBoard.See open jobs similar to "Data Engineer- Part time (3 days a week)" Drive Capital.