Data Engineer

Remote - Chennai, Tamil Nadu, India

Applications have closed

IMMO

The new way to invest in residential real estate at scale.

View company page

IMMO was founded with two ambitious goals:

  1. To totally reimagine residential real estate, not only how you can improve buying and selling homes, but improving the experience of tenants with a new higher level of customer service that they’ve never had before
  2. Create a working experience that allows employees to astound you with their innovation, passion, and empathy for each other.

Every member of IMMO (or our “IMMORTALS” as we call them), knows that if we are to hit these goals there’s no place for hiding behind a job description or passing the buck. We look for answers, not problems, we act, not react, we work together, not on our own, and we don’t mind failing at something new if we learn something.

Don’t get us wrong, we aren’t perfect, there’s lots for us to improve on, lots to learn, and a heck of a lot to do. If you aren’t someone who likes the uncertainty of not knowing what the answer is, like to hog the limelight instead of sharing it, and don’t have a high level of empathy for others, then that’s fine but we are not going to be right for you.

You Will:

  • Empower people across the business with easy access to relevant data
  • Support Analysts and Data Scientists, so that they can easily iterate through data, set up new ETLs, and execute experiments. Help them set up automated reporting and deploy models to production
  • Cooperate with software engineers in order to identify and implement the best ways to integrate data from source systems: Considering the business requirements, systems performance and data quality
  • As part of the BI & analytics team build and extend the core data model in our cloud data warehouse: enriching and modeling raw data into the main business dimensions and facts for use in reporting and analytics
  • Identify opportunities on how we can use modern tools and methods to automate and optimise our processes and solutions. Drive the adoption of your proposed changes by influencing stakeholders and colleagues
  • As the team scales, support on hiring and onboarding of new engineers

Requirements

  • You have a track record creating and managing modern and effective BI & analytics solutions including data integrations and pipelines, data models and reports.
  • You have strong experience working with SQL and RDBMS. Ideally, you already worked with or even managed cloud data warehouses like Snowflake or BigQuery.
  • You have experience with data modeling and maybe already designed your first relational data models for business use.
  • You have experience with ELT processes. Knowledge of associated tools like Fivetran and dbt is a plus.
  • You have a solid understanding of software design principles and DevOps.
  • You are a self-starter who is comfortable working autonomously and with teams located across our offices. You are not afraid to get your hands dirty, prioritise your focus based on impact, and are able to own a project from start to finish.

Benefits

  • Flexible leave policy
  • Flexible working policy, we believe that work is something you do not when you have to do it
  • Mental Health Assistance
  • A truly collaborative culture where the best ideas win, not the person with the most senior title
  • The ability to figure out your own solutions, and the responsibility to implement them
  • A culture that is devoid of egos, where People > Product > Profits

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: BigQuery DevOps ELT FiveTran Pipelines RDBMS React Snowflake SQL

Perks/benefits: Flex hours Health care

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  24  5  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.