.. lead and own the development of a new-age product, from handling customer conversations, to taking architectural decisions, to leading the team from the front and making sure we deliver a world class product. Actively contribute and participate in design and architecture discussions Lead Agile Sprint .. read more
About Amber (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, 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 $2Bn in annual gross bookings value by 2024. 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 the Asia Pacific as per Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2022)
Key Responsibilities: As a Data Engineer: Design, develop, and optimize our data pipelines and ETL processes. Maintain and enhance our Redshift data warehouse, ensuring efficient query performance, scalability,glue and uptime. Collaborate with cross functional teams to integrate data from various sources into our warehouse. Monitor Redshift upmetrics, improve query execution times, and reduce errors to ensure high availability and reliability. Implement best practices for data governance, security, and data quality. As a Data Analyst: Translate complex data into actionable insights for stakeholders across departments. Create dashboards and reports to visualize key performance indicators (KPIs) and business metrics. Perform ad hoc data analysis to support business decisions. Analyze data trends and provide recommendations to optimize business strategies and operations. Work closely with leadership to ensure data driven decisions are made in alignment with business goals.
Requirements: Experience: 2-3 years in Data Engineering and/or Data Analytics roles.
Required Skills: Skills in Data Engineering: Proficiency in SQL, ETL pipelines, and database management. Strong experience with cloud based data warehouses, particularly Amazon Redshift. Familiarity with data orchestration tools like Airflow or DBT. Knowledge of Python or similar programming languages for data processing. Skills in Data Analytics: Strong analytical skills with experience in data modeling and visualization tools (e.g., Tableau, Power BI, or Looker). Ability to derive actionable insights from large datasets. Experience working with key business metrics and KPIs. Bonus: Experience with AWS services, Spark, or other big data tools. Excellent problem solving skills and the ability to adapt to a fast paced environment. Strong communication skills to work cross-functionally with technical and nontechnical teams.
Why Join Us? Impact: You’ll play a key role in driving data centric decisions across the organization. Growth: Opportunities to develop your skills and take on leadership responsibilities as we grow. Culture: A dynamic, supportive, and inclusive environment where collaboration is key.
Key Responsibilities: As a Data Engineer: Design, develop, and optimize our data pipelines and ETL processes. Maintain and enhance our Redshift data warehouse, ensuring efficient query performance, scalability,glue and uptime. Collaborate with cross functional teams to integrate data from various sources into our warehouse. Monitor Redshift upmetrics, improve query execution times, and reduce errors to ensure high availability and reliability. Implement best practices for data governance, security, and data quality. As a Data Analyst: Translate complex data into actionable insights for stakeholders across departments. Create dashboards and reports to visualize key performance indicators (KPIs) and business metrics. Perform ad hoc data analysis to support business decisions. Analyze data trends and provide recommendations to optimize business strategies and operations. Work closely with leadership to ensure data driven decisions are made in alignment with business goals.
Requirements: Experience: 2-3 years in Data Engineering and/or Data Analytics roles.
Required Skills: Skills in Data Engineering: Proficiency in SQL, ETL pipelines, and database management. Strong experience with cloud based data warehouses, particularly Amazon Redshift. Familiarity with data orchestration tools like Airflow or DBT. Knowledge of Python or similar programming languages for data processing. Skills in Data Analytics: Strong analytical skills with experience in data modeling and visualization tools (e.g., Tableau, Power BI, or Looker). Ability to derive actionable insights from large datasets. Experience working with key business metrics and KPIs. Bonus: Experience with AWS services, Spark, or other big data tools. Excellent problem solving skills and the ability to adapt to a fast paced environment. Strong communication skills to work cross-functionally with technical and nontechnical teams.
Why Join Us? Impact: You’ll play a key role in driving data centric decisions across the organization. Growth: Opportunities to develop your skills and take on leadership responsibilities as we grow. Culture: A dynamic, supportive, and inclusive environment where collaboration is key.