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Line of Service Advisory Industry/Sector FS X-Sector Specialism Risk Management Level Senior Associate Job Description & Summary We are seeking a highly skilled Sailpoint Developer .If candidate has experience of 2-3 years, he/she must be Sailpoint Certified, above 3 years experience sailpoint certification is not mandatory but good to have. 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:. We are seeking an experienced Big Query Specialist with 3-4 years of hands-on experience in managing, analyzing, and integrating data within Google Cloud Platform. The ideal candidate will have a strong background in data exploration, ETL processes, and log management, along with proficiency in Python for data manipulation and exportation Responsibilities Big Query Setup and Modification: o Design, implement, and modify Big Query datasets and tables. o Optimize Big Query architecture for performance and cost-effectiveness. Data Analysis: o Querying Big Query: Writing and executing SQL queries to extract, transform, and load (ETL) data from Big Query. o Data Exploration: Using SQL to explore datasets, identify patterns, trends, and anomalies. o Data Interpretation: Analyzing results and drawing meaningful conclusions to inform business decisions. o Data Visualization: Creating reports and dashboards using tools like Looker Studio, Google Sheets, or other BI tools to communicate insights. o Data Quality: Identifying and addressing data quality issues, ensuring data accuracy and consistency. Log Ingestion and Modification: o Develop and manage processes for ingesting logs into Big Query tables. o Ensure data accuracy and consistency through effective data transformation techniques. Integration with Security Solutions: o Collaborate with security teams to integrate Big Query with other security solutions. o Implement data governance and security best practices within Big Query. Licensing and Module Management: o Understand and manage GCP licensing and module configurations related to Big Query. o Provide guidance on cost management and optimization strategies. Data Modeling and Management: Data Modeling: Understanding data structures and relationships within Big Query datasets. o Data Pipelines: Developing and maintaining data pipelines for ingesting, transforming, and loading data into Big Query. o Data Governance: Ensuring data security, privacy, and compliance with relevant regulations Data Exportation and Python Proficiency: o Export logs and data efficiently from Big Query using Python. o Develop scripts and tools for data manipulation and automation tasks. Optional Skills: o Data visualization skills (e.g., Tableau, Looker). o Basic programming skills (e.g., Python, R). o Experience with machine learning or predictive analytics. Mandatory Skill Sets 3-4 years of experience working with Google Big Query and GCP. Strong proficiency in SQL and Python programming. Experience with data integration, ETL processes, and data pipeline management. Familiarity with security solutions and data governance practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skill Sets Experience with other GCP services such as Google Cloud Storage, Dataflow, or Pub/Sub. Knowledge of machine learning concepts and Big Query ML. Certification in Google Cloud Platform (e.g., Professional Data Engineer). Years of experience required: 3-7 Years Education Qualification B.Tech/MCA/MBA with IT background/ Bachelor’s degree in Information Technology, Cybersecurity, Computer Science Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Google BigQuery Optional Skills Accepting Feedback, Accepting Feedback, Access Control Models, Access Control System, Access Management, Active Listening, Analytical Thinking, Authorization Compliance, Authorization Management Systems, Azure Active Directory, Cloud Identity and Access Management (IAM), Communication, Creativity, CyberArk Management, Cybersecurity, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Federated Identity Management, ForgeRock Identity Platform, Identity and Access Management (IAM), Identity-Based Encryption, Identity Federation, Identity Governance Framework (IGF) {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less
