Principal Data Engineer
Autodesk
Principal Data Engineer
Job Description
Principal Data Engineer
📋 Job Overview
The Principal Data Engineer role at Autodesk involves leading the design and implementation of scalable data pipelines and architectures to support advanced analytics and AI initiatives across the organization. Based in India with remote work options, this position focuses on collaborating with cross-functional teams to drive data-driven decision-making and innovation in product development. The engineer will mentor junior team members and ensure robust, secure data solutions aligned with business objectives.
📍 Location: India - Remote, India - Remote (Remote/Hybrid)
📅 Posted: Posted 17 Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines for real-time and batch processing
- Collaborate with data scientists and product teams to define data requirements
- Optimize data storage and retrieval for performance and cost efficiency
- Implement data quality and security best practices
- Mentor and guide junior engineers on data engineering practices
- Contribute to the evolution of Autodesk's data platform strategy
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering roles
- Proven track record in building and optimizing large-scale data systems
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong programming skills in Python, Java, or Scala
⭐ Preferred Qualifications
- Experience with Autodesk products or SaaS environments
- Knowledge of machine learning pipelines and data governance
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
- Prior leadership experience in agile data teams
- Familiarity with big data tools like Kafka or Spark
🛠️ Required Skills
- Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Expertise in ETL tools (e.g., Apache Airflow, Talend)
- Strong experience with big data technologies (Spark, Hadoop, Kafka)
- Cloud computing skills (AWS S3, Lambda, EMR; Azure Data Factory)
- Programming languages: Python, Java, Scala
- Data modeling and warehousing (Snowflake, Redshift)
- Soft skills: Problem-solving, collaboration, communication
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health insurance for employee and family
- Remote work flexibility with home office setup allowance
- Generous paid time off and flexible working hours
- Professional development opportunities and learning stipends
- Employee stock purchase plan and retirement savings options
Locations
- India - Remote, India - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
80,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Expertise in ETL tools (e.g., Apache Airflow, Talend)intermediate
- Strong experience with big data technologies (Spark, Hadoop, Kafka)intermediate
- Cloud computing skills (AWS S3, Lambda, EMR; Azure Data Factory)intermediate
- Programming languages: Python, Java, Scalaintermediate
- Data modeling and warehousing (Snowflake, Redshift)intermediate
- Soft skills: Problem-solving, collaboration, communicationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in data engineering roles (experience)
- Proven track record in building and optimizing large-scale data systems (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
- Strong programming skills in Python, Java, or Scala (experience)
Preferred Qualifications
- Experience with Autodesk products or SaaS environments (experience)
- Knowledge of machine learning pipelines and data governance (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
- Prior leadership experience in agile data teams (experience)
- Familiarity with big data tools like Kafka or Spark (experience)
Responsibilities
- Design and develop scalable data pipelines for real-time and batch processing
- Collaborate with data scientists and product teams to define data requirements
- Optimize data storage and retrieval for performance and cost efficiency
- Implement data quality and security best practices
- Mentor and guide junior engineers on data engineering practices
- Contribute to the evolution of Autodesk's data platform strategy
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health insurance for employee and family
- general: Remote work flexibility with home office setup allowance
- general: Generous paid time off and flexible working hours
- general: Professional development opportunities and learning stipends
- general: Employee stock purchase plan and retirement savings options
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Principal Data Engineer
Autodesk
Principal Data Engineer
Job Description
Principal Data Engineer
📋 Job Overview
The Principal Data Engineer role at Autodesk involves leading the design and implementation of scalable data pipelines and architectures to support advanced analytics and AI initiatives across the organization. Based in India with remote work options, this position focuses on collaborating with cross-functional teams to drive data-driven decision-making and innovation in product development. The engineer will mentor junior team members and ensure robust, secure data solutions aligned with business objectives.
📍 Location: India - Remote, India - Remote (Remote/Hybrid)
📅 Posted: Posted 17 Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines for real-time and batch processing
- Collaborate with data scientists and product teams to define data requirements
- Optimize data storage and retrieval for performance and cost efficiency
- Implement data quality and security best practices
- Mentor and guide junior engineers on data engineering practices
- Contribute to the evolution of Autodesk's data platform strategy
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering roles
- Proven track record in building and optimizing large-scale data systems
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong programming skills in Python, Java, or Scala
⭐ Preferred Qualifications
- Experience with Autodesk products or SaaS environments
- Knowledge of machine learning pipelines and data governance
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
- Prior leadership experience in agile data teams
- Familiarity with big data tools like Kafka or Spark
🛠️ Required Skills
- Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Expertise in ETL tools (e.g., Apache Airflow, Talend)
- Strong experience with big data technologies (Spark, Hadoop, Kafka)
- Cloud computing skills (AWS S3, Lambda, EMR; Azure Data Factory)
- Programming languages: Python, Java, Scala
- Data modeling and warehousing (Snowflake, Redshift)
- Soft skills: Problem-solving, collaboration, communication
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health insurance for employee and family
- Remote work flexibility with home office setup allowance
- Generous paid time off and flexible working hours
- Professional development opportunities and learning stipends
- Employee stock purchase plan and retirement savings options
Locations
- India - Remote, India - Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
80,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Expertise in ETL tools (e.g., Apache Airflow, Talend)intermediate
- Strong experience with big data technologies (Spark, Hadoop, Kafka)intermediate
- Cloud computing skills (AWS S3, Lambda, EMR; Azure Data Factory)intermediate
- Programming languages: Python, Java, Scalaintermediate
- Data modeling and warehousing (Snowflake, Redshift)intermediate
- Soft skills: Problem-solving, collaboration, communicationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 8+ years of experience in data engineering roles (experience)
- Proven track record in building and optimizing large-scale data systems (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
- Strong programming skills in Python, Java, or Scala (experience)
Preferred Qualifications
- Experience with Autodesk products or SaaS environments (experience)
- Knowledge of machine learning pipelines and data governance (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
- Prior leadership experience in agile data teams (experience)
- Familiarity with big data tools like Kafka or Spark (experience)
Responsibilities
- Design and develop scalable data pipelines for real-time and batch processing
- Collaborate with data scientists and product teams to define data requirements
- Optimize data storage and retrieval for performance and cost efficiency
- Implement data quality and security best practices
- Mentor and guide junior engineers on data engineering practices
- Contribute to the evolution of Autodesk's data platform strategy
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health insurance for employee and family
- general: Remote work flexibility with home office setup allowance
- general: Generous paid time off and flexible working hours
- general: Professional development opportunities and learning stipends
- general: Employee stock purchase plan and retirement savings options
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs