Software Engineer II, Paid MarTech
Instacart
Software Engineer II, Paid MarTech
Job Description
Responsibilities
- Building and maintaining data pipelines using Python and Snowflake: Design and oversee efficient data pipelines that handle extensive data processing, ensuring seamless data flow and troubleshooting issues as they arise.
- Integrating and extracting data from multiple sources such as Google Analytics and Snowflake: Manage ETL processes for integrating diverse data sources, ensuring accurate and timely data flow into centralized systems to support decision-making.
- Automating tasks like data retrieval and report generation: Develop scripts and workflows to automate data retrieval and report generation, utilizing APIs and scheduling tools to streamline processes and minimize manual effort.
- Leading DBT initiatives to enhance model efficiency: Spearhead the development and optimization of data models using DBT, ensuring scalability and maintainability, while documenting best practices and providing guidance to the team.
- Harnessing Airflow for automation tasks and configuring manual runs: Use Apache Airflow to automate and schedule complex workflows, ensuring efficient and accurate execution of data-related tasks.
- Collaborating with marketing teams utilizing your marketing data experience: Work closely with marketing to translate data into actionable insights, providing analytical support and enhancing data-driven strategies.
- Works with multiple third-party channels to streamline Ad conversions: Able to work closely with stakeholders across third-party channel providers and debug issues when they arise.
- Collaborating with Marketing to launch new Paid Listing Ads across channels: Working with various channels (Snap, Google, Facebook, etc) on managing and pushing data to multiple channels and product lists for various product feed Ad consumption
- Writing advanced SQL queries and setting up data marts: Create complex SQL queries and establish data marts, providing easy access to clean and structured data for marketing analytics.
Required Qualifications
- Python Expertise: Daily use and extensive knowledge of Python for data integration, automation, and more.
- Snowflake Proficiency: Regular use for creating data pipelines, performing admin tasks, and managing roles.
- Google Analytics: Experience with Google Tag Manager and generating daily reports.
- DBT Leadership: Leading initiatives, model creation, and process documentation.
- Airflow Experience: Daily automation and configuration of tasks.
- Marketing Experience: Ability to work with marketing data and collaborate effectively.
- SQL and ETL Skills: Advanced proficiency in SQL and experience with ETL processes across Snowflake, Redshift, and PostgreSQL.
- Collaboration Skills: Proven ability to work with various stakeholders including product, sales, and finance teams.
Preferred Qualifications
- Basic understanding of digital marketing and previous experience working with marketing teams.
- Possesses general familiarity with performance marketing KPIs (ROAS, LTV, CAC, CPA, etc).
- Understanding of Marketing event channel operations, and knowledge of launching new channels through the above-mentioned technologies is appreciated.
- Having previous experience working with third-party analytics/tracking platforms
- Having previous experience managing Google Tag Manager for a Marketing or Advertising organization
- Past knowledge within a Data Platform Engineering organization or Data Engineering role
- Has previous experience on an on-call rotation
Required Skills
- Python
- Snowflake
- Google Analytics
- Google Tag Manager
- DBT
- Airflow
- SQL
- ETL processes
- Redshift
- PostgreSQL
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$142000 - $158000 CAD
Locations
- Toronto, ON, Canada, Toronto, ON, United States
Salary
142,000 - 158,000 CAD / yearly
Skills Required
- Pythonintermediate
- Snowflakeintermediate
- Google Analyticsintermediate
- Google Tag Managerintermediate
- DBTintermediate
- Airflowintermediate
- SQLintermediate
- ETL processesintermediate
- Redshiftintermediate
- PostgreSQLintermediate
Required Qualifications
- Python Expertise: Daily use and extensive knowledge of Python for data integration, automation, and more. (experience)
- Snowflake Proficiency: Regular use for creating data pipelines, performing admin tasks, and managing roles. (experience)
- Google Analytics: Experience with Google Tag Manager and generating daily reports. (experience)
- DBT Leadership: Leading initiatives, model creation, and process documentation. (experience)
- Airflow Experience: Daily automation and configuration of tasks. (experience)
- Marketing Experience: Ability to work with marketing data and collaborate effectively. (experience)
- SQL and ETL Skills: Advanced proficiency in SQL and experience with ETL processes across Snowflake, Redshift, and PostgreSQL. (experience)
- Collaboration Skills: Proven ability to work with various stakeholders including product, sales, and finance teams. (experience)
Preferred Qualifications
- Basic understanding of digital marketing and previous experience working with marketing teams. (experience)
- Possesses general familiarity with performance marketing KPIs (ROAS, LTV, CAC, CPA, etc). (experience)
- Understanding of Marketing event channel operations, and knowledge of launching new channels through the above-mentioned technologies is appreciated. (experience)
- Having previous experience working with third-party analytics/tracking platforms (experience)
- Having previous experience managing Google Tag Manager for a Marketing or Advertising organization (experience)
- Past knowledge within a Data Platform Engineering organization or Data Engineering role (experience)
- Has previous experience on an on-call rotation (experience)
Responsibilities
- Building and maintaining data pipelines using Python and Snowflake: Design and oversee efficient data pipelines that handle extensive data processing, ensuring seamless data flow and troubleshooting issues as they arise.
- Integrating and extracting data from multiple sources such as Google Analytics and Snowflake: Manage ETL processes for integrating diverse data sources, ensuring accurate and timely data flow into centralized systems to support decision-making.
- Automating tasks like data retrieval and report generation: Develop scripts and workflows to automate data retrieval and report generation, utilizing APIs and scheduling tools to streamline processes and minimize manual effort.
- Leading DBT initiatives to enhance model efficiency: Spearhead the development and optimization of data models using DBT, ensuring scalability and maintainability, while documenting best practices and providing guidance to the team.
- Harnessing Airflow for automation tasks and configuring manual runs: Use Apache Airflow to automate and schedule complex workflows, ensuring efficient and accurate execution of data-related tasks.
- Collaborating with marketing teams utilizing your marketing data experience: Work closely with marketing to translate data into actionable insights, providing analytical support and enhancing data-driven strategies.
- Works with multiple third-party channels to streamline Ad conversions: Able to work closely with stakeholders across third-party channel providers and debug issues when they arise.
- Collaborating with Marketing to launch new Paid Listing Ads across channels: Working with various channels (Snap, Google, Facebook, etc) on managing and pushing data to multiple channels and product lists for various product feed Ad consumption
- Writing advanced SQL queries and setting up data marts: Create complex SQL queries and establish data marts, providing easy access to clean and structured data for marketing analytics.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories
Software Engineer II, Paid MarTech
Instacart
Software Engineer II, Paid MarTech
Job Description
Responsibilities
- Building and maintaining data pipelines using Python and Snowflake: Design and oversee efficient data pipelines that handle extensive data processing, ensuring seamless data flow and troubleshooting issues as they arise.
- Integrating and extracting data from multiple sources such as Google Analytics and Snowflake: Manage ETL processes for integrating diverse data sources, ensuring accurate and timely data flow into centralized systems to support decision-making.
- Automating tasks like data retrieval and report generation: Develop scripts and workflows to automate data retrieval and report generation, utilizing APIs and scheduling tools to streamline processes and minimize manual effort.
- Leading DBT initiatives to enhance model efficiency: Spearhead the development and optimization of data models using DBT, ensuring scalability and maintainability, while documenting best practices and providing guidance to the team.
- Harnessing Airflow for automation tasks and configuring manual runs: Use Apache Airflow to automate and schedule complex workflows, ensuring efficient and accurate execution of data-related tasks.
- Collaborating with marketing teams utilizing your marketing data experience: Work closely with marketing to translate data into actionable insights, providing analytical support and enhancing data-driven strategies.
- Works with multiple third-party channels to streamline Ad conversions: Able to work closely with stakeholders across third-party channel providers and debug issues when they arise.
- Collaborating with Marketing to launch new Paid Listing Ads across channels: Working with various channels (Snap, Google, Facebook, etc) on managing and pushing data to multiple channels and product lists for various product feed Ad consumption
- Writing advanced SQL queries and setting up data marts: Create complex SQL queries and establish data marts, providing easy access to clean and structured data for marketing analytics.
Required Qualifications
- Python Expertise: Daily use and extensive knowledge of Python for data integration, automation, and more.
- Snowflake Proficiency: Regular use for creating data pipelines, performing admin tasks, and managing roles.
- Google Analytics: Experience with Google Tag Manager and generating daily reports.
- DBT Leadership: Leading initiatives, model creation, and process documentation.
- Airflow Experience: Daily automation and configuration of tasks.
- Marketing Experience: Ability to work with marketing data and collaborate effectively.
- SQL and ETL Skills: Advanced proficiency in SQL and experience with ETL processes across Snowflake, Redshift, and PostgreSQL.
- Collaboration Skills: Proven ability to work with various stakeholders including product, sales, and finance teams.
Preferred Qualifications
- Basic understanding of digital marketing and previous experience working with marketing teams.
- Possesses general familiarity with performance marketing KPIs (ROAS, LTV, CAC, CPA, etc).
- Understanding of Marketing event channel operations, and knowledge of launching new channels through the above-mentioned technologies is appreciated.
- Having previous experience working with third-party analytics/tracking platforms
- Having previous experience managing Google Tag Manager for a Marketing or Advertising organization
- Past knowledge within a Data Platform Engineering organization or Data Engineering role
- Has previous experience on an on-call rotation
Required Skills
- Python
- Snowflake
- Google Analytics
- Google Tag Manager
- DBT
- Airflow
- SQL
- ETL processes
- Redshift
- PostgreSQL
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$142000 - $158000 CAD
Locations
- Toronto, ON, Canada, Toronto, ON, United States
Salary
142,000 - 158,000 CAD / yearly
Skills Required
- Pythonintermediate
- Snowflakeintermediate
- Google Analyticsintermediate
- Google Tag Managerintermediate
- DBTintermediate
- Airflowintermediate
- SQLintermediate
- ETL processesintermediate
- Redshiftintermediate
- PostgreSQLintermediate
Required Qualifications
- Python Expertise: Daily use and extensive knowledge of Python for data integration, automation, and more. (experience)
- Snowflake Proficiency: Regular use for creating data pipelines, performing admin tasks, and managing roles. (experience)
- Google Analytics: Experience with Google Tag Manager and generating daily reports. (experience)
- DBT Leadership: Leading initiatives, model creation, and process documentation. (experience)
- Airflow Experience: Daily automation and configuration of tasks. (experience)
- Marketing Experience: Ability to work with marketing data and collaborate effectively. (experience)
- SQL and ETL Skills: Advanced proficiency in SQL and experience with ETL processes across Snowflake, Redshift, and PostgreSQL. (experience)
- Collaboration Skills: Proven ability to work with various stakeholders including product, sales, and finance teams. (experience)
Preferred Qualifications
- Basic understanding of digital marketing and previous experience working with marketing teams. (experience)
- Possesses general familiarity with performance marketing KPIs (ROAS, LTV, CAC, CPA, etc). (experience)
- Understanding of Marketing event channel operations, and knowledge of launching new channels through the above-mentioned technologies is appreciated. (experience)
- Having previous experience working with third-party analytics/tracking platforms (experience)
- Having previous experience managing Google Tag Manager for a Marketing or Advertising organization (experience)
- Past knowledge within a Data Platform Engineering organization or Data Engineering role (experience)
- Has previous experience on an on-call rotation (experience)
Responsibilities
- Building and maintaining data pipelines using Python and Snowflake: Design and oversee efficient data pipelines that handle extensive data processing, ensuring seamless data flow and troubleshooting issues as they arise.
- Integrating and extracting data from multiple sources such as Google Analytics and Snowflake: Manage ETL processes for integrating diverse data sources, ensuring accurate and timely data flow into centralized systems to support decision-making.
- Automating tasks like data retrieval and report generation: Develop scripts and workflows to automate data retrieval and report generation, utilizing APIs and scheduling tools to streamline processes and minimize manual effort.
- Leading DBT initiatives to enhance model efficiency: Spearhead the development and optimization of data models using DBT, ensuring scalability and maintainability, while documenting best practices and providing guidance to the team.
- Harnessing Airflow for automation tasks and configuring manual runs: Use Apache Airflow to automate and schedule complex workflows, ensuring efficient and accurate execution of data-related tasks.
- Collaborating with marketing teams utilizing your marketing data experience: Work closely with marketing to translate data into actionable insights, providing analytical support and enhancing data-driven strategies.
- Works with multiple third-party channels to streamline Ad conversions: Able to work closely with stakeholders across third-party channel providers and debug issues when they arise.
- Collaborating with Marketing to launch new Paid Listing Ads across channels: Working with various channels (Snap, Google, Facebook, etc) on managing and pushing data to multiple channels and product lists for various product feed Ad consumption
- Writing advanced SQL queries and setting up data marts: Create complex SQL queries and establish data marts, providing easy access to clean and structured data for marketing analytics.
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories