Data Engineer II – ETL, BI Reporting
Rackspace Technology
AzureCloudETLMySQLNumpyPandasPostgresPythonSQLTableauVault
Principal Data Engineer
Autodesk
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
AirflowAWSAzureCloudETLHadoopKafkaPythonSparkSQL
About the role
- Lead and mentor a team of data engineers responsible for building and maintaining scalable data pipelines and infrastructure on AWS, Snowflake and Azure
- Architect and implement end-to-end data pipeline solutions, ensuring high performance, resilience, and cost efficiency across both batch and real-time data flows
- Define and drive the long-term vision for data engineering in alignment with Autodesk’s data platform strategy and analytics roadmap
- Collaborate with analysts, data scientists, FinOps engineers, and product/engineering teams to translate business needs into reliable, scalable data solutions
- Establish and enforce standards for data quality, governance, observability, and operational excellence, defining “what good looks like” across the data lifecycle
- Design and optimize data models, ELT/ETL processes, and data architectures to support analytics, BI, and machine learning workloads
- Implement best practices in CI/CD, testing frameworks, and deploying data pipelines
- Leverage modern data integration tools such as Fivetran, Nexla and Airflow for batch ingestion and transformation workflows
- Apply AI-driven approaches for anomaly detection, pipeline optimization, and automation
- Stay current with emerging trends in data engineering and proactively evolve the team’s capabilities and toolset
Requirements
- 10+ years of experience in data engineering
- At least 3 years in a lead role
- Demonstrated success in delivering large-scale, enterprise-grade data pipeline architectures and leading technical teams
- Expertise with cloud data platforms; AWS and Azure experience is a strong plus
- Proficiency in SQL and Python
- Proficiency in modern data modeling practices
- Hands-on experience with batch and streaming frameworks (e.g., Spark, Kafka, Kinesis, Hadoop)
- Proven track record of building and maintaining real-time and batch data pipelines at scale
- Deep understanding of ETL and ELT paradigms, including traditional ETL and modern ELT tools
- Experience with data integration tools (Fivetran, Nexla, etc.) and orchestration platforms (e.g., Airflow)
- Familiarity with Data Lakehouse architectures, data mesh concepts, and hybrid/multi-cloud strategies
- Strong communication, leadership, and stakeholder management skills
- Ability to drive scalable architecture decisions through platform systems design and modern engineering patterns
Benefits
- Salary is one part of Autodesk’s competitive compensation package.
- Offers are based on the candidate’s experience and geographic location.
- In addition to base salaries, our compensation package may include annual cash bonuses.
- Commissions for sales roles.
- Stock grants.
- A comprehensive benefits package.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata pipeline architectureSQLPythondata modelingETLELTbatch processingstreaming frameworksanomaly detection
Soft skills
leadershipcommunicationstakeholder managementmentoringcollaborationorganizational skillsproblem-solvingstrategic visionoperational excellenceteam management
