Job Role: Data Engineer (Entry-Level / Early-Career)
Company: Autodesk
Job Location: Bengaluru, Karnataka, India
Job Type: Full-Time
Eligible Batch: Recent Graduates / 1-3 Years Experience (Strong internships count)
Work Mode: On-site / Hybrid (as per company policy; confirm during process)
Expected CTC: Competitive for entry-level data roles (indicative ₹6–₹10 LPA based on market trends for Autodesk Bengaluru Data Engineer early-career/1-3 yrs from Glassdoor/AmbitionBox; actual based on interview/performance; includes base + bonuses/stock/benefits)
Autodesk Data Engineer Overview
Autodesk is a global leader in design and make technology, empowering innovators to build better products and sustainable solutions—from green buildings and clean cars to smart factories and blockbuster movies. The Access domain team focuses on scalable, secure data engineering pipelines as a key strategic initiative. As an Entry-Level Data Engineer, you’ll build and enhance data processing/analytics pipelines, adopt a “Data Champion” mindset for quality, reliability, and observability, and tackle real-world challenges to boost platform resiliency and scalability using tools like Hive, Spark, Flink, Presto, Snowflake, Looker, PowerBI, and AWS—ideal for curious, detail-oriented early-career professionals eager to grow in big data and cloud ecosystems.
This is a solid early-career data engineering spot at Autodesk Bengaluru for folks with 1-3 yrs (or strong internships) in Spark/PySpark/Python/SQL who want impact on scalable pipelines in a premium product company—great learning in big data/cloud with good comp/benefits if you have distributed processing exposure. Skip if you lack basics in Spark/SQL or prefer non-data roles, as it’s focused on pipelines, quality, and observability in a mature tech stack.
Roles and Responsibilities
- Contribute to building and improving scalable, secure data processing and analytics pipelines
- Apply best practices for data quality, reliability, and observability as a “Data Champion.”
- Work on real-world data challenges to enhance platform reliability, resiliency, and scalability
- Collaborate in a diverse, early-career engineering team on big data and cloud initiatives
- Learn and implement tools/technologies in the Autodesk data ecosystem (Spark, Flink, Snowflake, etc.)
Eligibility Criteria for Autodesk Data Engineer
Mandatory Requirements
- 1–3 years of experience (or strong internship experience) in data engineering, big data, or data analytics
- 1+ years exposure to Spark, PySpark, or distributed data processing concepts
- Programming experience in Python and/or SQL
- Basic understanding of SQL, data modeling concepts, and data warehousing
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- Strong learning mindset, problem-solving ability, detail-oriented, quality-focused, and communication skills
Preferred Skills
- Exposure to Hive or Snowflake for data warehousing
- ETL workflow tools (Airflow or similar)
- BI tools such as Looker or PowerBI
- Version control (Git) and CI/CD concepts
- Notebook environments (Jupyter or similar)
- Understanding of streaming or event-driven systems
- Familiarity with AWS cloud services and Apache ecosystem technologies
Autodesk Salary, Benefits and Perks
- CTC: Competitive (indicative ₹6–₹10 LPA for entry-level/early-career; includes base + cash bonuses/stock grants/benefits)
- Hands-on experience with cutting-edge big data tools (Spark, Flink, Presto, Snowflake) and AWS
- Opportunity to grow into a “Data Champion” with a focus on quality, reliability, and impactful pipelines
- Comprehensive benefits package, including health, stock grants, and professional development
- Inclusive, innovative culture emphasizing diversity, belonging, curiosity, and meaningful work
CTC figures are indicative based on recent Autodesk Data Engineer early-career hiring patterns in Bengaluru (from Glassdoor/AmbitionBox/Levels.fyi). Actual offers may vary depending on interview performance, experience, and company policies.
Autodesk Selection Process
- Online application and resume shortlisting
- Technical assessments (coding/SQL/Spark basics possible)
- Technical interview(s) on data engineering concepts, Python/SQL, distributed processing, and problem-solving
- HR/managerial round (behavioral, fit, and communication) and final selection
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How to Apply for Autodesk Data Engineer
Official Apply Link:
Apply Online – Autodesk Careers
Documents Required: Updated resume, academic mark sheets/certificates, any relevant project/internship proofs
FAQs for Autodesk Data Engineer
Who can apply for this role?
Early-career candidates with 1-3 yrs (or strong internships) in data engineering/big data, solid Python/SQL/Spark exposure, and interest in scalable pipelines/analytics on AWS/Snowflake/etc.
Is this role suitable for freshers?
Borderline—prefers 1-3 yrs or very strong internships; entry-level friendly but screens for distributed processing basics.
Is work from home available?
Likely hybrid/on-site in Bengaluru (confirm during process).
What is the tech focus?
Data pipelines (Spark/PySpark/Flink), ETL (Airflow+), warehousing (Hive/Snowflake), BI (Looker/PowerBI), AWS cloud, observability, quality, and streaming/event systems.
About Autodesk
Autodesk empowers innovators worldwide with software for design and make—helping create sustainable buildings, efficient vehicles, smart factories, and inspiring media. With a focus on hybrid cloud, AI, and meaningful impact, Autodesk fosters a culture of curiosity, diversity, and global collaboration.
Last Updated March 2026 | Job verified and active