Data Engineer
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
Apply Now
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