Position Overview

We are seeking a skilled data engineer to join Infrastructure and Cloud Platforms team. The data engineer will be responsible for developing, testing, and maintaining data pipelines and data warehouse architectures that support data-driven decision making across the company. The ideal candidate will have experience in Python, SQL, big data frameworks, orchestration tools, big data technical stack, data engineering concepts, and Snowflake.

Responsibilities

• Develop and maintain data pipelines that transform raw data into usable formats for analysis

• Design and maintain data warehouse architectures that meet the needs of the organization

• Collaborate data scientists and analysts to understand their requirements and translate them into scalable and efficient data engineering solutions.

• Develop and maintain ETL (extract, transform, load) processes that integrate data from multiple sources

• Create and maintain documentation for data pipelines and data warehouse architectures

• Monitor and optimize data pipelines and data warehouse architectures for performance and scalability

• Collaborate with other members of the engineering team to ensure smooth integration of data engineering solutions with other systems

• Stay up-to-date with new developments in data engineering and data science, and share knowledge with the team

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field

• 5+ years of experience in data engineering

• Proficiency in Python and SQL

• Solid understanding of data warehousing concepts, data modeling techniques, and ETL processes

• Familiarity with data integration techniques and tools for handling structured and unstructured data

• Proficiency in database systems like SQL Server, MySQL, PostgreSQL, and experience with SQL optimization

• Experience with big data frameworks (such as Hadoop, Spark, or Kafka) and orchestration tools (such as Airflow or DBT)

• Knowledge of big data technical stack (such as HDFS, Hive, or Impala)

• Familiarity with Snowflake cloud data platform

• Strong problem-solving and analytical skills

• Strong understanding of data engineering concepts and best practices

• Excellent communication and collaboration skills

• Ability to work independently and within a team environment

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About Autodesk
Welcome to Autodesk! 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.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

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, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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