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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Lead design and development of scalable data pipelines for ETL
Implement data modeling and orchestration in dbt for a reliable data layer
Mentor and guide junior data engineers
Write documentation for data engineering processes and standards
Lead the design and development of scalable and efficient data pipelines, focusing on data integration, transformation, and loading (ETL) processes.
Implement data modeling, transformations, and orchestration using dbt to create a unified and reliable data layer.
Mentor and provide technical guidance to junior data engineers
Develop and maintain documentation for data engineering processes, standards, and best practices.
Familiarity with data visualization tools like Domo or Power BI.
Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark).
To be considered for this role, an individual should meet the following minimal requirements: - Bachelor's or master's degree in computer science, Data Science, or a related field. - 8+ years of experience in data engineering.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 70
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- In-depth knowledge of SQL and database design principles. - Programming skills in Python, Java, or similar languages. - Experience with version control systems (e.g., Git, Dev Ops) and Agile methodologies.
- Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt. - In-depth knowledge of SQL and database design principles. - Programming skills in Python, Java, or similar languages.
- Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark). - Certification in cloud platforms like AWS, Azure, or Google Cloud. What Can We Give You?
- Leverage your deep understanding of the business to identify opportunities where data and analytics can help solve complex problems and drive strategic initiatives. - Implement data modeling, transformations, and orchestration using dbt to create a unified and reliable data layer. - Develop and maintain documentation for data engineering processes, standards, and best practices.
- Strong expertise in data warehousing and cloud-based data platforms, with a focus on Snowflake. - Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt. - In-depth knowledge of SQL and database design principles.
- Familiarity with data visualization tools like Domo or Power BI. - Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark). - Certification in cloud platforms like AWS, Azure, or Google Cloud.
Preferred Qualifications: - Familiarity with data visualization tools like Domo or Power BI. - Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark).
- Lead the design and development of scalable and efficient data pipelines, focusing on data integration, transformation, and loading (ETL) processes. - Assist in Architecting and maintaining data warehouses, data lakes, and data marts on cloud-based platforms, with a primary focus on Snowflake. - Mentor and provide technical guidance to junior data engineers,
- 8+ years of experience in data engineering. - Strong expertise in data warehousing and cloud-based data platforms, with a focus on Snowflake. - Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Title: Senior Data Engineer Company: Toro Technology Center India
Who Are We?
The Toro Company is a homegrown, Minnesota-based company that has been in business since 1914. We pride ourselves on providing world-class equipment to help maintain the environment that we love, while putting an emphasis on giving back to the communities that surround us. From residential lawns and gardens to Golf Clubs and sports grounds we are a company with a global footprint and a passion for helping people beautify whatever landscape they may be in. With 100+ years of operation under our belt and an average employee tenure of 15 years, come find out what makes The Toro Company the best place to build a career.
What Will You Do?
In order to grow and build a successful career with The Toro Company, you will be responsible for:
Lead the design and development of scalable and efficient data pipelines, focusing on data integration, transformation, and loading (ETL) processes.
Assist in Architecting and maintaining data warehouses, data lakes, and data marts on cloud-based platforms, with a primary focus on Snowflake.
Mentor and provide technical guidance to junior data engineers,
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and ensure data solutions align with business objectives.
Leverage your deep understanding of the business to identify opportunities where data and analytics can help solve complex problems and drive strategic initiatives.
Implement data modeling, transformations, and orchestration using dbt to create a unified and reliable data layer.
Develop and maintain documentation for data engineering processes, standards, and best practices.
What Do You Need?
To be considered for this role, an individual should meet the following minimal requirements:
Bachelor's or master's degree in computer science, Data Science, or a related field.
8+ years of experience in data engineering.
Strong expertise in data warehousing and cloud-based data platforms, with a focus on Snowflake.
Proficiency in ETL tools, particularly Fivetran, and experience with data orchestration and transformation using dbt.
In-depth knowledge of SQL and database design principles.
Programming skills in Python, Java, or similar languages.
Experience with version control systems (e.g., Git, Dev Ops) and Agile methodologies.
Preferred Qualifications:
Familiarity with data visualization tools like Domo or Power BI.
Knowledge of distributed computing and big data technologies (e.g., Hadoop, Spark).
Certification in cloud platforms like AWS, Azure, or Google Cloud.
What Can We Give You?
At The Toro Company, we are always working to make sure our employees know just how valued they are. In addition to a competitive salary, an affordable and top tier medical insurance plan many other great benefits - The Toro company offers employees , a variety of perks, including:
Dress for your day - We know you're more productive when you're comfortable, which is why TTC employees are encouraged to take advantage of our casual, corporate environment.
Location – Conveniently located Baner, Pune we are centrally located for most commuters!
Food - Take advantage of our café, which serves both breakfast and lunch. You can grab a snack and a coffee at any time during your day.
Wellness - The Toro Company offers complimentary use of our onsite fitness facility to employees. In addition to physical wellbeing, TTC offers a variety of mental health and financial health resources to all employees.
Volunteerism - The Toro Company is proud to provide employees 20 hours of paid time to volunteer in the community.
Flexible Work Arrangements – This team is currently implementing a hybrid work schedule. The opportunity to collaborate in the office and work from home part-time, has promoted team-building and flexibility.
Competitive Salary – The pay range takes into account skills, experience, education, and location. Cash compensation is one piece of our competitive total rewards package. Eligibility and award amounts are determined by company policy and performance metrics.
At The Toro Company, we are committed to fostering a secure and trustworthy recruitment process for our applicants. Recruitment fraud is a potential threat to job seekers, so please be aware that throughout our recruitment process, you’ll never be required to pay any fees or disclose personal financial details when applying to TTC opportunities.
We are proud to be an Equal Opportunity Employer and consider qualified applicants without regard to race, color, religion, sex (including pregnancy and related needs and conditions, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit based factors. We are committed to creating an inclusive environment for all employees.
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Pune, IN
Volunteerism - The Toro Company is proud to provide employees 20 hours of paid time to volunteer in the community. Flexible Work Arrangements – This team is currently implementing a hybrid work schedule. The opportunity to collaborate in the office and work from home part-time, has promoted team-building and flexibility. Competitive Salary – The pay range takes into account skills, experience, education, and location. Cash compensation is one piece of our competitive total rewards package. Eligibility and award amounts are determined by company policy and performance metrics.
No clear work-authorization passage found. Eligibility is unconfirmed.