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Senior Data Engineer (Data Engg & Soft Engg)

Autodesk

Software and Technology Jobs

Senior Data Engineer (Data Engg & Soft Engg)

full-timePosted: Dec 11, 2025

Job Description

Senior Data Engineer (Data Engg & Soft Engg)

๐Ÿ“‹ 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.

๐Ÿ“ Location: Pune

๐Ÿ“… Posted: Posted 10 Days Ago

๐ŸŽฏ 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

โœ… 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

โญ 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

๐Ÿ› ๏ธ 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

๐ŸŽ 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

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Autodesk logo

Senior Data Engineer (Data Engg & Soft Engg)

Autodesk

Software and Technology Jobs

Senior Data Engineer (Data Engg & Soft Engg)

full-timePosted: Dec 11, 2025

Job Description

Senior Data Engineer (Data Engg & Soft Engg)

๐Ÿ“‹ 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.

๐Ÿ“ Location: Pune

๐Ÿ“… Posted: Posted 10 Days Ago

๐ŸŽฏ 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

โœ… 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

โญ 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

๐Ÿ› ๏ธ 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

๐ŸŽ 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

Target Your Resume for "Senior Data Engineer (Data Engg & Soft Engg)" , Autodesk

Get personalized recommendations to optimize your resume specifically for Senior Data Engineer (Data Engg & Soft Engg). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Engineer (Data Engg & Soft Engg)" , Autodesk

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AutodeskPuneTechnologySoftware

Answer 10 quick questions to check your fit for Senior Data Engineer (Data Engg & Soft Engg) @ Autodesk.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.