Senior Data Engineer

We Are :

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are :

You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to apply them in real-world scenarios.

You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences.

You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem.

What You'll Be Doing :

• Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization.
• Design, develop, and deploy robust, scalable AI / Generative AI and machine learning algorithms, including Large Language Models (LLMs).
• Collaborate with cross-functional teams to shape the design and direction of Synopsys' Enterprise Data Platform.
• Work end-to-end on data products : from problem analysis to data pipeline (ELT / ETL) design, dimensional modeling, and advanced visualizations.
• Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling.
• Champion best practices in data management, ensuring consistency of process, usage, and data integrity.
• Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience.
• Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications.
• Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues.
• Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems.

The Impact You Will Have :

What You'll Need :

Who You Are :

The Team You'll Be A Part Of :

You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys' Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement.

Rewards and Benefits :

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Skills Required

Airflow, Unix, Dimensional Modeling, Tableau, Hana, ELT, snowflake , Cicd, Postgres, Fivetran, Python, Aws, Java, BigQuery, Scala, Sql, Powerbi, dbt, Gitlab, Data Warehousing, Mysql, Azure, Kubernetes, Etl