Senior Data Analyst

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring  4+YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities Data Infrastructure & Architecture  * Design and implement robust, scalable data architectures and pipelines  * Build and maintain ETL/ELT processes for batch and real-time data processing  * Develop data models and schemas optimized for analytics and reporting  * Ensure data quality, consistency, and reliability across all data systems  Platform-Agnostic Development  * Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements  * Implement data solutions using various technologies and frameworks  * Adapt quickly to new tools and platforms as project needs evolve  * Maintain expertise across different cloud ecosystems and services  Data Pipeline Development  * Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)  * Implement data transformation logic using modern data processing frameworks  * Build monitoring and alerting systems for data pipeline health  * Optimize pipeline performance and cost-efficiency  Collaboration & Integration  * Work closely with data scientists, analysts, and business stakeholders  * Collaborate with DevOps teams to implement CI/CD for data pipelines  * Partner with client teams to understand data requirements and deliver solutions  * Participate in architecture reviews and technical decision-making  MUST HAVE QUALIFICATIONS Technical Skills  * Minimum 3+ years of experience in data engineering or related field  * Strong programming skills in Python and/or Scala/Java  * Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB)  * Hands-on experience with data processing frameworks:   * Apache Spark, Hadoop ecosystem  * Apache Kafka for streaming data  * Apache Airflow or similar workflow orchestration tools  * Knowledge of data warehouse concepts and technologies  * Experience with containerization (Docker, Kubernetes)  * Understanding of data modeling principles and best practices  Cloud & Platform Experience  * Experience with at least one major cloud platform (AWS, Azure, or GCP)  * Familiarity with cloud-native data services:   * Data lakes, data warehouses, and analytics services  * Serverless computing and event-driven architectures  * Identity and access management for data systems  * Knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM templates)  Data & Analytics  * Understanding of data governance and security principles  * Experience with data quality frameworks and monitoring  * Knowledge of dimensional modeling and data warehouse design  * Familiarity with business intelligence and analytics tools  * Understanding of data privacy regulations (GDPR, CCPA)    NICE TO HAVE QUALIFICATIONS   Advanced Technical Skills  * Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks)  * Knowledge of machine learning pipelines and MLOps practices  * Experience with event-driven architectures and microservices  * Familiarity with data mesh and data fabric concepts  * Experience with graph databases (Neo4j, Amazon Neptune)  Industry Experience  * Experience in digital agency or consulting environment  * Background in financial services, e-commerce, retail, or customer experience platforms  * Knowledge of marketing technology and customer data platforms  * Experience with real-time analytics and personalization systems  Soft Skills  * Strong problem-solving and analytical thinking abilities  * Excellent communication skills for client-facing interactions  * Ability to work independently and manage multiple projects  * Adaptability to rapidly changing technology landscape  * * Experience mentoring junior team members  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a full-time position based in Bengaluru. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.  We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. ABOUT OKTA At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees. THE OPPORTUNITY Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure. This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta. WHAT YOU’LL DO * Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt. * Implement components of our security and governance framework to ensure high-compliance and security standards are met. * Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes. * Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably. * Adhere to and champion best practices in code quality, system design, and operational readiness. * Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs. WHAT YOU BRING * Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms.  * Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform. * Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack. * Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features. * Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions. WHAT SUCCESS LOOKS LIKE * You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features. * The infrastructure you build is automated, secure, and aligns with the team’s best practices. * You are a trusted, collaborative, and productive member of the data engineering team. * Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers. #LI_Hybrid  P24719_3369503 The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.