Staff Engineer

As a Data Science Staff Engineer at Synopsys, you play a crucial role in building robust, scalable, and efficient analytics solutions for the Enterprise Data Platform in Hyderabad. Your responsibilities include: - Building the data engineering and analytics infrastructure using Snowflake and Fivetran for the new Enterprise Data Platform. - Leading the development of data models, algorithms, data pipelines, and insights to facilitate data-driven decision-making. - Collaborating with team members to shape the design and direction of the data platform. - Working end-to-end on data products, including developing data pipelines, dimensional data models, and visualizations. - Providing support and advice to business users for data preparation for predictive and prescriptive modeling. - Ensuring consistency of processes and championing best practices in data management. - Evaluating and recommending new data tools or processes to maintain platform innovation and efficiency. - Designing, developing, and deploying scalable AI/Generative AI and machine learning models as required. - Offering day-to-day production support to internal business unit customers, implementing enhancements, and resolving defects. - Staying updated on emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions. To be successful in this role, you need: - A BS with 5 years of relevant experience or an MS with 3 years in Computer Sciences, Mathematics, Engineering, or MIS. - 5 years of experience in DW/BI development, reporting, and analytics roles, collaborating with business and key stakeholders. - Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases like mySQL, Postgres, HANA. - Hands-on experience with modern data stack tools such as Snowflake, dbt, Azure, AWS, Fivetran, HVR, Airbyte, GitLab, Kubernetes, Airflow, Datahub, Atlan. - Proficiency in scripting languages like Python, Unix, SQL, Scala, and Java for data extraction and exploration. - Experience with visualization tools like Tableau and PowerBI. - Knowledge of machine learning frameworks and libraries like Pandas, NumPy, TensorFlow, PyTorch, and LLM models. - Understanding of data governance, data integrity, and data quality best practices. - Experience with agile development methodologies and change control processes. You are a collaborative and innovative problem-solver with a strong technical background. Your effective communication, analytical mindset, and attention to detail make you a valuable asset to the team. You thrive in a fast-paced environment and are dedicated to delivering high-quality solutions that meet business needs. You will be joining the Business Applications team at Synopsys, a dynamic group focused on building and maintaining data infrastructure for enterprise-wide analytics and decision-making. The team is committed to innovation, collaboration, and excellence, working together to drive Synopsys' success through cutting-edge data solutions. As a Data Science Staff Engineer at Synopsys, you play a crucial role in building robust, scalable, and efficient analytics solutions for the Enterprise Data Platform in Hyderabad. Your responsibilities include: - Building the data engineering and analytics infrastructure using Snowflake and Fivetran for the new Enterprise Data Platform. - Leading the development of data models, algorithms, data pipelines, and insights to facilitate data-driven decision-making. - Collaborating with team members to shape the design and direction of the data platform. - Working end-to-end on data products, including developing data pipelines, dimensional data models, and visualizations. - Providing support and advice to business users for data preparation for predictive and prescriptive modeling. - Ensuring consistency of processes and championing best practices in data management. - Evaluating and recommending new data tools or processes to maintain platform innovation and efficiency. - Designing, developing, and deploying scalable AI/Generative AI and machine learning models as required. - Offering day-to-day production support to internal business unit customers, implementing enhancements, and resolving defects. - Staying updated on emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions. To be successful in this role, you need: - A BS with 5 years of relevant experience or an MS with 3 years in Computer Sciences, Mathematics, Engineering, or MIS. - 5 years of experience in DW/BI development, reporting, and analytics roles, collaborating with business and key stakeholders. - Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases like mySQL, Postgres, HANA. - Hands-on experience with modern data stack tools such as Snowflake, dbt, Azure, AWS, Fivetran, HVR, Airbyte, GitLab, Kubernetes, Airflow, Datahub, Atlan. - Proficiency in scripting l