Data Engiineer
other jobs Happiest Minds Technologies Limited
Added before 3 Days
- England,South East,Berkshire,Reading
- full-time
- Salary negotiable
Job Description:
About Happiest Minds Technologies Limited
Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence, blockchain, cloud, digital process automation, internet of things, robotics/drones, security, virtual/augmented reality, etc. Positioned as ’Born Digital .
Born Agile’, our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/transportation/hospitality.
A Great Place to Work-Certified™ company, Happiest Minds has operations in the U.S., UK, Canada, Australia India and Middle East.
Role: Data Engineer
Mode: Remote
Language: English
Main skills: python & sql, dbt, Google Cloud Platform, Google BigQuery, Prefect.
Data Engineer
The Data Engineer that will fit has hands on experience in this role, most of it in a e-commerce companies.
We expect them to have been focusing on building data pipelines:
ETL/ELT processes, modelling data in dbt to clean and process it, connecting to APIs to pull and push data to peripheral applications, working with python, automating/optimising data
Our infrastructure is built on Google Cloud Platform: we use Python, data streaming, Google BigQuery, dbt, Prefect and Tableau.
We are introducing AI features and predictive functionality in this environment.
Tasks:
*Design, develop, and maintain scalable data pipelines, ETL processes, and data integration workflows using Google BigQuery, dbt, Prefect, and Tableau
*Create and implement data models and machine learning algorithms for efficient data transformation
*Identify and troubleshoot data-related issues, proposing and implementing effective solutions
*Connect to peripheral applications: Exponea/Bloomreach, Salesforce, Odoo, Magento tOsend and receive data.
Requirements:
*Experience as data engineer, handling e-commerce data projects and building data pipelines.
*Minimum a Bachelor’s degree, ideally in Engineering or Science.
*Strong proficiency in Python and SQL.
*Proven experience in building ETL/ELT processes.
*Proven experience with data modelling, ideally in dbt.
*Proven experience with Google BigQuery.
*Ability to understand the broader technical infrastructure and the role of the data platform within it.
*Familiarity with Bloomreach Exponea, Salesforce, Tableau, Magento, and Odoo will be advantageous
Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence, blockchain, cloud, digital process automation, internet of things, robotics/drones, security, virtual/augmented reality, etc. Positioned as ’Born Digital .
Born Agile’, our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/transportation/hospitality.
A Great Place to Work-Certified™ company, Happiest Minds has operations in the U.S., UK, Canada, Australia India and Middle East.
Role: Data Engineer
Mode: Remote
Language: English
Main skills: python & sql, dbt, Google Cloud Platform, Google BigQuery, Prefect.
Data Engineer
The Data Engineer that will fit has hands on experience in this role, most of it in a e-commerce companies.
We expect them to have been focusing on building data pipelines:
ETL/ELT processes, modelling data in dbt to clean and process it, connecting to APIs to pull and push data to peripheral applications, working with python, automating/optimising data
Our infrastructure is built on Google Cloud Platform: we use Python, data streaming, Google BigQuery, dbt, Prefect and Tableau.
We are introducing AI features and predictive functionality in this environment.
Tasks:
*Design, develop, and maintain scalable data pipelines, ETL processes, and data integration workflows using Google BigQuery, dbt, Prefect, and Tableau
*Create and implement data models and machine learning algorithms for efficient data transformation
*Identify and troubleshoot data-related issues, proposing and implementing effective solutions
*Connect to peripheral applications: Exponea/Bloomreach, Salesforce, Odoo, Magento tOsend and receive data.
Requirements:
*Experience as data engineer, handling e-commerce data projects and building data pipelines.
*Minimum a Bachelor’s degree, ideally in Engineering or Science.
*Strong proficiency in Python and SQL.
*Proven experience in building ETL/ELT processes.
*Proven experience with data modelling, ideally in dbt.
*Proven experience with Google BigQuery.
*Ability to understand the broader technical infrastructure and the role of the data platform within it.
*Familiarity with Bloomreach Exponea, Salesforce, Tableau, Magento, and Odoo will be advantageous
Job number 1631756