Analytics Engineer

2 weeks ago

Pune, Maharashtra, India Amber Full time ₹ 15,00,000 - ₹ 20,00,000 per year

About Amber ):

Long-term accommodation booking platform for students (think 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 )



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.


Skills Required: 

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.


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