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The Legal Operations and Technology Strategy team is responsible for building solutions to solve complex problems related to compliance, investigations, intellectual property, and more. We are looking for a Data Engineer to not only build data pipelines, visualization models but also lay the framework to build out data models for predictive analysis and Generative AI.

Responsibilities:

• 
  Partner with leadership, engineers, program managers and business analysts to understand data needs.
• Design, build and launch efficient and reliable data pipelines transforming data into useful report ready datasets.
• Broad range of partners equates to a broad range of projects and deliverables including data pipeline frameworks, datasets, measurements, services, tools and process.
• Use your data and analytics experience to ‘see what’s missing’ identifying and address data gaps, build monitor to detect data quality issues and partner to establish a self-serve environment.
• Leverage data and business principles to automate data flow, detect business exceptions, build diagnostic capabilities, improve both business and data knowledge base.
• Build data expertise and own data quality for your areas.

• 10+ years of SQL experience.
• 8+ years of Python development experience.
• 8+ years of architecting and building out scalable data warehouses
• 10+ years of experience with Data Modeling.
• Experience analyzing data to discover opportunities and address gaps.
• 10+ years of experience in custom ETL design, implementation and maintenance.
• Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Azure Data Warehouse, or similar).
• 3+ Experience with Snowflakes.

• Experience with more than one coding language.
• Experience in designing and implementing real-time pipelines.
• Experience with data quality and validation.
• Experience with SQL performance tuning and e2e process optimization.
• Experience with anomaly/outlier detection.
• Experience with notebook-based Data Science workflow.
• Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
• Experience working with Supply Chain or Data Center Operation team.
• Experience with Legal datasets

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.

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Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

The base salary range across the U.S. for this role is between . In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.

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