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About the Role

Develop software solutions for complex ETL data pipelines and scalable APIs. Collaborate with Product Managers, Infrastructure, Business Operations, Quality Assurance, and other team members to ensure data is accessible, reliable, and well-structured for reporting.

Responsibilities

Develop data pipelines to extract, transform, and load (ETL) data from multiple sources into a centralized data repository.
Improve and refine data pipelines for efficiency, reliability, and scalability.
Monitor and troubleshoot data pipeline issues and ensure data integrity.
Develop RESTful APIs & microservices to support multiple operations.
Follow best practices for security, scaling, cost effectiveness and testing.
Create unit and integration tests.
Contribute to documentation on use of the APIs.
Resolve technical issues and bugs in applications.
Identify performance bottlenecks and improve code and databases.
Collaborate with engineers, analysts, cross-functional teams and partners to understand data requirements and deliver relevant insights.
Improve data processing and query performance for data retrieval and analytics.
Perform code review and provide constructive feedback within ethical boundaries.
Stay up to date with the latest data engineering technologies, and best practices.
Recommend new technologies for data engineering improvements.
Ensure data security by implementing access controls, encryption, and comply with data privacy regulations.

Requirements

7+ years of software development experience at multiple capacities.
2+ years of experience in big data technologies (Airflow, EMR/Spark, Snowflake, Hadoop/Hive).
Experience with data streaming (Kinesis/Kafka).
Proficiency in programming languages (Python, Java/Scala).
Experience building RESTful APIs and microservices.
Experience with relational databases (MySQL, PostgreSQL).
Background on cloud technologies (AWS, S3/EBS, Lambda, EKS, CloudWatch).
Familiarity with observability platforms (Splunk, Datadog).
Sound knowledge of design patterns and methodologies across multiple platforms.
Knowledge and support of modern development practices, such as Agile and Open-Source technologies.
Excellent debugging skills.

Skills

Python
Airflow
Snowflake
Hive
MySQL
Kinesis
Kafka
AWS
RESTful APIs
Microservices
PostgreSQL
S3/EBS
Lambda
EKS
CloudWatch
Splunk
Datadog
Agile
Open-Source technologies

Work Type

In-Person Onboarding

Experience Level

Senior
7+ years of software development experience
2+ years of experience in big data technologies

Education Level

Bachelor's in computer science or equivalent

Salary/Compensations

For Canada based roles, we expect a starting base salary between $107,000 and $157,300.

Benefits

Annual cash bonuses
Stock grants
Comprehensive benefits package

About the Company

Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Equal Opportunity

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging