IN_Senior Associate__Snowflake Developer_Data & Analytics_Advisory_Hyderabad

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. * Why   PWC At  PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more  about us . At  PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary:   A career within….

Knowledge of SQL language and cloud-based technologies   Data warehousing concepts, data modeling, metadata management   Data lakes, multi-dimensional models, data dictionaries   Migration to AWS or Azure Snowflake platform   Performance tuning and setting up resource monitors   Snowflake modeling – roles, databases, schemas   SQL performance measuring, query tuning, and database tuning   ETL tools with cloud-driven skills   Integration with third-party tools   Ability to build analytical solutions and models   Coding in languages like Python   Hadoop, Spark, and other warehousing tools   Managing sets of XML, JSON, and CSV from disparate sources   Snowflake warehousing, architecture, processing, administration   Data ingestion into Snowflake   Enterprise-level technical exposure to Snowflake applications   Proven track record of data migration and optimization within Snowflake   Ability to translate business needs into technical specifications   Design and implement scalable and efficient data storage solutions using Snowflake.   Write, optimize, and troubleshoot SQL queries within the Snowflake environment.   Integrate Snowflake with various data sources and third-party tools.   Ensure data security and compliance with industry standards.   Collaborate with cross-functional teams to meet data-driven business objectives.   Stay updated with the latest Snowflake features and best practices.   Proficient in SQL and familiar with ETL processes   Experience with data modeling and cloud computing environments   Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning   Understanding of data compliance and security best practices   Experience in performance tuning and cost optimization in a cloud data platform   Familiarity with BI tools integration, such as Tableau.   Mandatory skill sets:     Snowflake   & SQL   Preferred skill sets:     Snowflake   & SQL   Years of experience