Principal Data Engineer - Analytics Data
Autodesk
Principal Data Engineer - Analytics Data
Job Description
Principal Data Engineer - Analytics Data
📋 Job Overview
The Principal Data Engineer - Analytics Data role at Autodesk involves leading the design and implementation of scalable data pipelines and analytics platforms to support business intelligence and decision-making. This position focuses on optimizing data infrastructure for large-scale analytics, collaborating with cross-functional teams to deliver actionable insights. The engineer will drive innovation in data engineering practices to enhance Autodesk's analytics capabilities.
📍 Location: Bengaluru
📅 Posted: Posted 2 Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines for analytics workloads
- Optimize data storage and processing using big data technologies
- Collaborate with data scientists and analysts to define data requirements
- Implement monitoring and alerting for data quality and performance
- Lead mentoring and knowledge sharing within the data engineering team
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 8+ years of experience in data engineering roles
- Proven track record in building and maintaining data pipelines at scale
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong programming skills in Python, Java, or Scala
⭐ Preferred Qualifications
- Experience with Autodesk products or AEC industry
- Knowledge of machine learning pipelines
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
- Familiarity with data governance and compliance standards
🛠️ Required Skills
- Proficiency in Python, Java, or Scala for data processing
- Expertise in Apache Spark, Kafka, and Hadoop ecosystem
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Cloud computing skills in AWS, Azure, or GCP
- Data modeling and ETL/ELT pipeline development
- Strong problem-solving and communication skills
- Knowledge of containerization (Docker, Kubernetes)
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health and wellness benefits
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan and retirement savings
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / 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 Python, Java, or Scala for data processingintermediate
- Expertise in Apache Spark, Kafka, and Hadoop ecosystemintermediate
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Cloud computing skills in AWS, Azure, or GCPintermediate
- Data modeling and ETL/ELT pipeline developmentintermediate
- Strong problem-solving and communication skillsintermediate
- Knowledge of containerization (Docker, Kubernetes)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field (experience)
- 8+ years of experience in data engineering roles (experience)
- Proven track record in building and maintaining data pipelines at scale (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 AEC industry (experience)
- Knowledge of machine learning pipelines (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
- Familiarity with data governance and compliance standards (experience)
Responsibilities
- Design and develop scalable data pipelines for analytics workloads
- Optimize data storage and processing using big data technologies
- Collaborate with data scientists and analysts to define data requirements
- Implement monitoring and alerting for data quality and performance
- Lead mentoring and knowledge sharing within the data engineering team
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health and wellness benefits
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer - Analytics Data @ Autodesk.
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Principal Data Engineer - Analytics Data
Autodesk
Principal Data Engineer - Analytics Data
Job Description
Principal Data Engineer - Analytics Data
📋 Job Overview
The Principal Data Engineer - Analytics Data role at Autodesk involves leading the design and implementation of scalable data pipelines and analytics platforms to support business intelligence and decision-making. This position focuses on optimizing data infrastructure for large-scale analytics, collaborating with cross-functional teams to deliver actionable insights. The engineer will drive innovation in data engineering practices to enhance Autodesk's analytics capabilities.
📍 Location: Bengaluru
📅 Posted: Posted 2 Days Ago
🎯 Key Responsibilities
- Design and develop scalable data pipelines for analytics workloads
- Optimize data storage and processing using big data technologies
- Collaborate with data scientists and analysts to define data requirements
- Implement monitoring and alerting for data quality and performance
- Lead mentoring and knowledge sharing within the data engineering team
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 8+ years of experience in data engineering roles
- Proven track record in building and maintaining data pipelines at scale
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong programming skills in Python, Java, or Scala
⭐ Preferred Qualifications
- Experience with Autodesk products or AEC industry
- Knowledge of machine learning pipelines
- Certifications in cloud data services (e.g., AWS Certified Data Analytics)
- Familiarity with data governance and compliance standards
🛠️ Required Skills
- Proficiency in Python, Java, or Scala for data processing
- Expertise in Apache Spark, Kafka, and Hadoop ecosystem
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- Cloud computing skills in AWS, Azure, or GCP
- Data modeling and ETL/ELT pipeline development
- Strong problem-solving and communication skills
- Knowledge of containerization (Docker, Kubernetes)
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health and wellness benefits
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan and retirement savings
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / 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 Python, Java, or Scala for data processingintermediate
- Expertise in Apache Spark, Kafka, and Hadoop ecosystemintermediate
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- Cloud computing skills in AWS, Azure, or GCPintermediate
- Data modeling and ETL/ELT pipeline developmentintermediate
- Strong problem-solving and communication skillsintermediate
- Knowledge of containerization (Docker, Kubernetes)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field (experience)
- 8+ years of experience in data engineering roles (experience)
- Proven track record in building and maintaining data pipelines at scale (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 AEC industry (experience)
- Knowledge of machine learning pipelines (experience)
- Certifications in cloud data services (e.g., AWS Certified Data Analytics) (experience)
- Familiarity with data governance and compliance standards (experience)
Responsibilities
- Design and develop scalable data pipelines for analytics workloads
- Optimize data storage and processing using big data technologies
- Collaborate with data scientists and analysts to define data requirements
- Implement monitoring and alerting for data quality and performance
- Lead mentoring and knowledge sharing within the data engineering team
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health and wellness benefits
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for Principal Data Engineer - Analytics Data @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs