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Senior Data Developer, Analytics & Insights
AutodeskSenior Data Developer responsible for designing and implementing data pipelines at Autodesk. Working with big data technologies to drive data-driven decision-making and improve platform initiatives.
Tech Stack
Tools & technologiesAirflowAWSCloudETLHadoopPythonSparkSQL
About the role
Key responsibilities & impact- Design, develop, automate and maintain scalable, robust and reliable ELT/ETL data pipelines that collect, process and transform large volumes of structure and unstructured data from various sources
- Maintain and enhance our existing data architecture to ensure smooth and efficient data flow across platforms
- Interface with data peers, product managers and cross-functional stakeholders to gather requirements, sequence work, and document technical solutions
- Implement best practices for data quality, integrity and governance, including monitoring, validation and auditing processes to ensure reliable and consistent data availability
- Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation by staying up to date with industry trends and new technologies
- Apply an AI-native data engineering mindset by using ML-driven validation, anomaly detection, automated schema evolution, automated data lineage and optimizations for pipeline performance and resource efficiency
Requirements
What you’ll need- 5+ years of data processing and data engineering experience in a fast-paced, large cloud-based infrastructure (AWS experience required)
- Hands-on software development experience in Python
- Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake, Presto/Hive
- Understanding of Data Engineering best practices for medium to large scale production workloads
- Knowledge of big data processing frameworks (e.g. Spark, Hadoop)
- Expertise with data pipeline orchestration tools, such as Airflow
- Familiar with processing semi-structured file formats such as Json or parquet
- Bachelor’s degree in computer science, data science, or related fields
Benefits
Comp & perks- Annual cash bonuses
- Comprehensive benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata processingPythonSQLdimensional modelingSnowflakePrestoHadoopSparkAirflow
Soft Skills
collaborationcommunicationproblem-solvinginnovationattention to detailadaptabilityteamworkdocumentationrequirements gatheringdata quality
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in data science