Job Description

Job Title: Data Engineer

Organization: Living Things Pvt. Ltd

Location: IIT Bombay, Powai, Mumbai

Job Type: Full-Time

Experience Level: Mid-Level (1 - 2 years experience)

About Us:

Living Things is a pioneering IoT platform by iCapotech Pvt Ltd, dedicated to accelerating the net zero journey towards a sustainable future. We bring mindfulness in energy usage by our platform. Our solution seamlessly integrates with existing air conditioners, empowering businesses & organisations to optimise & reduce energy usage, enhance operational efficiency, reduce carbon footprints, and drive sustainable practices. Analysis of Electricity consumption across all locations from Electricity Bills. By harnessing the power of real-time data analytics and intelligent insights, our energy saving algorithm helps in saving a minimum of 15% on Air Conditioner's energy consumption.

About the Role:

We are seeking a highly skilled and motivated Data Engineer to join our growing data team. You will play a critical role in designing, building, and maintaining our data infrastructure, enabling data-driven decision-making across the organization.

Job Responsibilities:

Manage and optimize

relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases.

Leverage cloud platforms

(AWS, Azure) for data storage, processing, and analysis.

Knowledge of BI tools

(e.g., Metabase, Power BI, Looker)

Collaborate closely

with data scientists, analysts, and business stakeholders to understand data requirements.

Ensure data quality, security, and compliance

through data validation, access controls, and encryption.

Stay updated

on the latest data engineering technologies and best practices.

Contribute to

the development and improvement of data infrastructure and processes.

Skills and Qualifications:

Essential:

Strong proficiency in Python, SQL, and scripting languages (e.g., Bash, Shell) Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Knowledge of data modeling, data warehousing principles, and ETL/ELT methodologies. Proficiency with cloud platforms (AWS, Azure, GCP), including data storage (e.g., Cloud Storage) and data warehousing services (e.g., Redshift, Snowflake, BigQuery) Experience with data quality and validation techniques Knowledge of data security and privacy best practices Strong analytical and problem-solving abilities Experience with BI tools (e.g., Metabase, Power BI, Looker)

Preferred:

Experience with data warehousing and data lake architectures Hands-on experience with data processing frameworks like Apache Spark, Apache Kafka, and stream processing technologies Excellent communication and presentation skills.
Job Type: Full-time

Pay: From ?55,000.00 per month

Benefits:

Flexible schedule Health insurance Paid sick time Provident Fund Work from home
Schedule:

Day shift Morning shift
Supplemental Pay:

Yearly bonus
Work Location: In person