About Amber (https://amberstudent.com)
Long-term accommodation booking platform for students (think booking.com for
student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, nonstandardized and cumbersome paperwork, and a broken payment process.
We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
We are growing rapidly and targeting $400M in annual gross bookings value by 2022.
If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
We are amongst the fastest growing companies in Asia-Pacific as per
Financial times https://www.ft.com/high-growth-asia-pacific-ranking-2022 .
Responsibilities
- In charge of converting raw data into usable information for analytics and business decision-making
- Setting up accurate data pipelines to structure the Data and optimize the cost
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
- Work with stakeholders including the Executive, Product, Analytics and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Requirements
- Minimum 2 years of previous experience as a data engineer or in a similar role.
- Technical expertise in data models, data mining, and segmentation
- techniques.
- Knowledge and hands-on with of programming languages (e.g. Java, Python
- and Scala)
- Hands-on experience with SQL database design and AWS lambda function.
- Experience with big data tools: Spark, and Kafka.
- Experience with AWS cloud services: Redshift and S3.
- Experience in ETL frameworks like AWS Glue.
- Experience in designing Data warehousing and streaming processes.
What will you get from amber:
- Fast-paced growth (can skip intermediate levels)
- Total freedom and authority (everything under you, just get the job done!)
- Open and Inclusive Environment
- Great Compensation (and ESOPs)
About Amber
Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M+ students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the largest and fastest-growing student housing platform globally, with 1M+ units listed in 6 countries and across 100+ cities. We are growing rapidly and targeting $500M in annual gross bookings value by 2022.
If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
We are the fastest growing company in Asia Pacific as per Financial times https://www.ft.com/high-growth-asia-pacific-ranking-2022
Similar jobs
LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities:
Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams
Requirements:
Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind
Data Engineer JD:
- Designing, developing, constructing, installing, testing and maintaining the complete data management & processing systems.
- Building highly scalable, robust, fault-tolerant, & secure user data platform adhering to data protection laws.
- Taking care of the complete ETL (Extract, Transform & Load) process.
- Ensuring architecture is planned in such a way that it meets all the business requirements.
- Exploring new ways of using existing data, to provide more insights out of it.
- Proposing ways to improve data quality, reliability & efficiency of the whole system.
- Creating data models to reduce system complexity and hence increase efficiency & reduce cost.
- Introducing new data management tools & technologies into the existing system to make it more efficient.
- Setting up monitoring and alarming on data pipeline jobs to detect failures and anomalies
What do we expect from you?
- BS/MS in Computer Science or equivalent experience
- 5 years of recent experience in Big Data Engineering.
- Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Zookeeper, Storm, Spark, Airflow and NoSQL systems
- Excellent programming and debugging skills in Java or Python.
- Apache spark, python, hands on experience in deploying ML models
- Has worked on streaming and realtime pipelines
- Experience with Apache Kafka or has worked with any of Spark Streaming, Flume or Storm
Focus Area:
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R1 |
Data structure & Algorithms |
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R2 |
Problem solving + Coding |
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R3 |
Design (LLD) |
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
We are looking out for a technically driven "Full-Stack Engineer" for one of our premium client
COMPANY DESCRIPTION:
Qualifications
• Bachelor's degree in computer science or related field; Master's degree is a plus
• 3+ years of relevant work experience
• Meaningful experience with at least two of the following technologies: Python, Scala, Java
• Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL is very
much expected
• Commercial client-facing project experience is helpful, including working in close-knit teams
• Ability to work across structured, semi-structured, and unstructured data, extracting information and
identifying linkages across disparate data sets
• Confirmed ability in clearly communicating complex solutions
• Understandings on Information Security principles to ensure compliant handling and management of
client data
• Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
• Extraordinary attention to detail
Responsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
- Full cycle of building machine learning solutions,
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem
- Experience using the full open source programming tools and utilities
- Experience in working in end-to-end data science project implementation.
- 2+ years of experience with development and deployment of Machine Learning applications
- 2+ years of experience with NLP approaches in a production setting
- Experience in building models using bagging and boosting algorithms
- Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
- Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
- Strong python skills following software engineering best practices
- Experience in using code versioning tools like GIT, bit bucket
- Experience in working in Agile projects
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
- Experience managing big data with efficient query program good to have
- Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
- Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience with Health care sector is preferred
- MS/M.Tech or PhD is a plus
- Hands-on programming expertise in Java OR Python
- Strong production experience with Spark (Minimum of 1-2 years)
- Experience in data pipelines using Big Data technologies (Hadoop, Spark, Kafka, etc.,) on large scale unstructured data sets
- Working experience and good understanding of public cloud environments (AWS OR Azure OR Google Cloud)
- Experience with IAM policy and role management is a plus
Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)
- Hands-on development/maintenance experience in Tableau: Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions using Tableau
- Reviewing and improving existing Tableau dashboards and data models/ systems and collaborating with teams to integrate new systems
- Provide support and expertise to the business community to assist with better utilization of Tableau
- Understand business requirements, conduct analysis and recommend solution options for intelligent dashboards in Tableau
- Experience with Data Extraction, Transformation and Load (ETL) – knowledge of how to extract, transform and load data
- Execute SQL data queries across multiple data sources in support of business intelligence reporting needs. Format query results / reports in various ways
- Participates in QA testing, liaising with other project team members and being responsive to client's needs, all with an eye on details in a fast-paced environment
- Performing and documenting data analysis, data validation, and data mapping/design
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Key Performance Indicators (Indicate how performance will be measured: indicators, activities…) |
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KPIs will be outlined in detail in the goal sheet |
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Ideal Background (State the minimum and desirable education and experience level) |
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Education |
Minimum: Graduation, preferably in Science |
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Experience requirement: |
· Minimum: 2-3 years’ relevant work experience in the field of reporting and data analytics using Tableau. · Tableau certifications would be preferred · Work experience in the regulated medical device / Pharmaceutical industry would be an added advantage, but not mandatory |
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Languages: |
Minimum: English (written and spoken) |
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Specific Professional Competencies: Indicate any other soft/technical/professional knowledge and skills requirements |
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