Senior Data Engineer (Data Engg & Soft Engg)
Autodesk
Senior Data Engineer (Data Engg & Soft Engg)
Job Description
Senior Data Engineer (Data Engg & Soft Engg)
📋 Job Overview
The Senior Data Engineer role at Autodesk involves designing and implementing scalable data pipelines to support advanced analytics and machine learning initiatives. The position requires collaboration with cross-functional teams to ensure data integrity and accessibility across the organization. This role combines data engineering and software engineering expertise to drive data-driven decision-making.
📍 Location: Pune
📅 Posted: Posted 10 Days Ago
🎯 Key Responsibilities
- Design, build, and maintain scalable data pipelines for processing large volumes of data
- Collaborate with data scientists and analysts to understand data needs and deliver solutions
- Implement data quality checks and monitoring to ensure reliability
- Optimize data storage and retrieval for performance
- Contribute to the development of data engineering best practices and standards
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering roles
- Strong experience with ETL processes and data warehousing
- Proficiency in programming languages such as Python or Java
- Experience with cloud platforms like AWS, Azure, or GCP
⭐ Preferred Qualifications
- Experience with big data technologies like Hadoop or Spark
- Knowledge of machine learning frameworks
- Familiarity with Autodesk's software products
- Advanced degree in a quantitative field
- Experience in agile development environments
🛠️ Required Skills
- Python, Java, or Scala programming
- SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- ETL tools (e.g., Apache Airflow, Talend)
- Big data technologies (e.g., Apache Spark, Kafka)
- Cloud computing (AWS, Azure, GCP)
- Data modeling and warehousing
- Version control (Git)
- Problem-solving and analytical thinking
- Collaboration and communication skills
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health insurance coverage
- Retirement savings plan with company matching
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan
- Generous paid time off and parental leave
Locations
- Pune, 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
- Python, Java, or Scala programmingintermediate
- SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- ETL tools (e.g., Apache Airflow, Talend)intermediate
- Big data technologies (e.g., Apache Spark, Kafka)intermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Data modeling and warehousingintermediate
- Version control (Git)intermediate
- Problem-solving and analytical thinkingintermediate
- Collaboration and communication skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 5+ years of experience in data engineering roles (experience)
- Strong experience with ETL processes and data warehousing (experience)
- Proficiency in programming languages such as Python or Java (experience)
- Experience with cloud platforms like AWS, Azure, or GCP (experience)
Preferred Qualifications
- Experience with big data technologies like Hadoop or Spark (experience)
- Knowledge of machine learning frameworks (experience)
- Familiarity with Autodesk's software products (experience)
- Advanced degree in a quantitative field (experience)
- Experience in agile development environments (experience)
Responsibilities
- Design, build, and maintain scalable data pipelines for processing large volumes of data
- Collaborate with data scientists and analysts to understand data needs and deliver solutions
- Implement data quality checks and monitoring to ensure reliability
- Optimize data storage and retrieval for performance
- Contribute to the development of data engineering best practices and standards
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health insurance coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan
- general: Generous paid time off and parental leave
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer (Data Engg & Soft Engg) @ Autodesk.
10 Questions
~2 Minutes
Instant Score
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Senior Data Engineer (Data Engg & Soft Engg)
Autodesk
Senior Data Engineer (Data Engg & Soft Engg)
Job Description
Senior Data Engineer (Data Engg & Soft Engg)
📋 Job Overview
The Senior Data Engineer role at Autodesk involves designing and implementing scalable data pipelines to support advanced analytics and machine learning initiatives. The position requires collaboration with cross-functional teams to ensure data integrity and accessibility across the organization. This role combines data engineering and software engineering expertise to drive data-driven decision-making.
📍 Location: Pune
📅 Posted: Posted 10 Days Ago
🎯 Key Responsibilities
- Design, build, and maintain scalable data pipelines for processing large volumes of data
- Collaborate with data scientists and analysts to understand data needs and deliver solutions
- Implement data quality checks and monitoring to ensure reliability
- Optimize data storage and retrieval for performance
- Contribute to the development of data engineering best practices and standards
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering roles
- Strong experience with ETL processes and data warehousing
- Proficiency in programming languages such as Python or Java
- Experience with cloud platforms like AWS, Azure, or GCP
⭐ Preferred Qualifications
- Experience with big data technologies like Hadoop or Spark
- Knowledge of machine learning frameworks
- Familiarity with Autodesk's software products
- Advanced degree in a quantitative field
- Experience in agile development environments
🛠️ Required Skills
- Python, Java, or Scala programming
- SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
- ETL tools (e.g., Apache Airflow, Talend)
- Big data technologies (e.g., Apache Spark, Kafka)
- Cloud computing (AWS, Azure, GCP)
- Data modeling and warehousing
- Version control (Git)
- Problem-solving and analytical thinking
- Collaboration and communication skills
🎁 Benefits & Perks
- Competitive salary and performance-based bonuses
- Comprehensive health insurance coverage
- Retirement savings plan with company matching
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan
- Generous paid time off and parental leave
Locations
- Pune, 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
- Python, Java, or Scala programmingintermediate
- SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
- ETL tools (e.g., Apache Airflow, Talend)intermediate
- Big data technologies (e.g., Apache Spark, Kafka)intermediate
- Cloud computing (AWS, Azure, GCP)intermediate
- Data modeling and warehousingintermediate
- Version control (Git)intermediate
- Problem-solving and analytical thinkingintermediate
- Collaboration and communication skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 5+ years of experience in data engineering roles (experience)
- Strong experience with ETL processes and data warehousing (experience)
- Proficiency in programming languages such as Python or Java (experience)
- Experience with cloud platforms like AWS, Azure, or GCP (experience)
Preferred Qualifications
- Experience with big data technologies like Hadoop or Spark (experience)
- Knowledge of machine learning frameworks (experience)
- Familiarity with Autodesk's software products (experience)
- Advanced degree in a quantitative field (experience)
- Experience in agile development environments (experience)
Responsibilities
- Design, build, and maintain scalable data pipelines for processing large volumes of data
- Collaborate with data scientists and analysts to understand data needs and deliver solutions
- Implement data quality checks and monitoring to ensure reliability
- Optimize data storage and retrieval for performance
- Contribute to the development of data engineering best practices and standards
Benefits
- general: Competitive salary and performance-based bonuses
- general: Comprehensive health insurance coverage
- general: Retirement savings plan with company matching
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan
- general: Generous paid time off and parental leave
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer (Data Engg & Soft Engg) @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs