Senior Data Engineer (Databricks)

Requisition #: 14159 

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

Take a leap of certainty … with Ansys.

SUMMARY

As part of the Licensing team, the Senior Data Engineer plays a pivotal role in shaping our data infrastructure and driving actionable insights from Ansys application usage telemetry data using Databricks. Your expertise will be critical in designing, implementing, and optimizing data pipelines that transform raw data into valuable information used to make decisions about where to improve and streamline our applications

RESPONSIBILITIES

• Designs, develops, and implements scalable and high-performance data solutions on the Azure platform.
• Optimizes data storage and retrieval mechanisms to ensure the efficient processing of large datasets.
• Develop, optimize, and manage ETL/ELT data pipelines using Databricks, with a focus on data integrity and quality.
• Focus on optimization of our Data Warehouse, identifying opportunities to reduce complexity and cost.
• Investigate problems discovered by QA or product support and develop solutions.
• Works under the general supervision of a development manager.
• Participates in planning, architecture, and research.
• Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions.

MINIMUM QUALIFICATIONS

• BS in Engineering, Computer Science, or related field with 5 years’ experience, MS with 3 years’ experience, or PhD with 1 year experience
• Strong background in software development in a commercial environment, with expertise in API development and integration.
• Proficiency in Python and PySpark.
• Prior experience implementing ETL/ELT solutions using Databricks.
• Deep understanding of data structures, data schemas and data handling algorithms.
• Effective verbal and written communication skills.
• Ability to learn quickly and to collaborate with others in a geographically distributed team.

PREFERRED QUALIFICATIONS

• Strong experience in data engineering and architecture, with a focus on Azure cloud technologies.
• Experience with Databricks Platform administration, cluster sizing and optimization, and CI/CD lifecycles.
• Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
• Experience with Power BI/Tableau/QuickSight.
• Good communication and interpersonal skills.
• Ability to learn quickly and to collaborate with others in a geographically distributed team.

At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential in the knowledge that every day is an opportunity to observe, teach, inspire, and be inspired. Together as One Ansys, we are powering innovation that drives human advancement.

Our Commitments:

• Amaze with innovative products and solutions
• Make our customers incredibly successful
• Act with integrity
• Ensure employees thrive and shareholders prosper

Our Values:

• Adaptability: Be open, welcome what’s next
• Courage: Be courageous, move forward passionately
• Generosity: Be generous, share, listen, serve
• Authenticity: Be you, make us stronger

Our Actions:

• We commit to audacious goals
• We work seamlessly as a team
• We demonstrate mastery
• We deliver outstanding results

OUR ONE ANSYS CULTURE HAS INCLUSION AT ITS CORE
We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.

TAKE A LEAP OF CERTAINTY IN YOUR CAREER AT ANSYS

At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high – met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost.

At Ansys, it’s about the learning, the discovery, and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics.
 

CREATING A PLACE WE’RE PROUD TO BE 
Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: America’s Most Loved Workplaces, Gold Stevie Award Winner, America’s Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, U.K.).

 
For more information, please visit us at www.ansys.com
 

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.
 
Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.