Role Description We are looking for a Senior Data Engineer to join our Platform Data team and take a leading role in our production data pipelines — the systems that power Leadfeeder's product experience, from ingesting and enriching web visit signals to delivering intent data and account intelligence to customers in near real time. This is a deeply technical, engineering-led role focused on the production data layer — the pipelines, streaming infrastructure, and cloud systems that turn raw signal into product. Reliability, scale, and engineering quality are the bar. The platform you build is what customers experience every day. You will work closely with product and engineering teams to design, build, and operate the pipelines, streaming systems, and cloud infrastructure that move data through Leadfeeder at scale. You will shape how we ingest, process, enrich, and serve production data — defining the standards, tooling, and architecture that make our data platform a competitive advantage. Responsibilities: - Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving. - Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency. - Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code. - Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows. - Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data. - Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline. - Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems. Qualifications - 10+ years of hands-on experience in data and/or software engineering, with a leading role in production data pipelines that power product or customer-facing systems (not only internal analytics). - Strong engineering background — production-grade Python, strong SQL, code review, testing, CI/CD, and operational ownership are second nature. - Deep cloud infrastructure experience — AWS (S3, Kinesis/MSK, Lambda, ECS/EKS, IAM, networking) or equivalent; comfortable with infrastructure-as-code (Terraform, CDK, or similar). - Experience with streaming or real-time data ingestion (Kafka, Kinesis, Flink, Spark Streaming, or similar) into a warehouse or lakehouse environment. - Solid experience with modern data warehouse / lakehouse technologies (Snowflake, BigQuery, Redshift, Databricks, Athena or similar). - Hands-on experience with data transformation tooling, particularly dbt. - Track record of building and operating distributed data systems at scale — with deliberate attention to performance, reliability, and cost. - Familiarity with data quality and observability tooling and practices (Great Expectations, dbt tests, Monte Carlo, or similar). - Background in enabling AI/ML workloads on top of production data. - Strong communication skills in English, both written and verbal, with the ability to collaborate effectively with engineering, product, and non-engineering stakeholders. - Comfortable working in a fully remote environment. - Be physically located within Europe. Nice to have - Knowledge of data cataloguing tools, data contracts frameworks, or data mesh principles. - Background in B2B SaaS and familiarity with intent data, web event data, CRM, product analytics, billing, and support tooling. Benefits - The chance to work with a very knowledgeable, high-achieving and fun team. - An international, diverse, dynamic and committed work environment. - The opportunity to work remotely, with a flexible work schedule. - Mental health support with Auntie.

Role Description - Strong hands-on experience with Alteryx Designer - Experience with Alteryx Server (deployment, scheduling, permissions) - Advanced SQL (joins, window functions, performance tuning) - Experience with data preparation, ETL, and analytics concepts - Familiarity with relational databases (Oracle, SQL Server, Snowflake, etc.) - Good understanding of data modeling and data quality principles Nice to Have: - Experience with Python or R integration in Alteryx - Knowledge of BI tools (Power BI, Tableau) - Exposure to cloud platforms (Azure, AWS, GCP) - Experience with version control (Git) - Knowledge of Agile / Scrum methodology Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Role Description We seek dynamic, talented, and quality-conscious PowerPoint Specialists to join our team in India. As a PowerPoint Specialist, you will be responsible for creating presentations with standardized formatting that adheres to the client’s brand guidelines. This role requires a keen eye for design, strong attention to detail, and good communication skills. - Innovative and Versatile Executor: Work at the intersection of technology and design to enhance the efficiency of high-volume presentation template creation. Effectively leverage company resources and tools. - Brand Compliance: Format and organize slides to ensure consistency, clarity, and alignment with brand guidelines. - Meticulous Quality Focus: Ensure presentations are error-free, with designs executed carefully through thorough quality checks and adherence to instructions. - Team Player: Collaborate closely with leaders to understand detailed brand nuances and deliver final products with a growth mindset. Welcome feedback and make necessary changes or improvements. Share feedback and ideas to help others grow as well. - Time Management: Work efficiently to meet deadlines. - Agile: Stay updated on industry trends and best practices in presentation design to continuously refine skills and techniques. Qualifications - Minimum of 2-3 years of professional expertise in slide design, particularly Microsoft PowerPoint. - Strong design skills to create well-balanced layouts and a sharp attention to detail. - Strong understanding of typography, color theory, and layout principles. - Ability to work efficiently and provide good quality under tight deadlines. - Excellent communication skills with the ability to effectively interact with stakeholders at all levels. - Good team player, disciplined executor, and quick learner — able to adjust to changes (ie updated processes or guidance), and proponent of finding fast ways to produce high-quality outputs. - Highly organized and capable of understanding design best practices and how to follow brand guidance across a variety of slide types. - Proven ability to prioritize tasks and manage time effectively to meet deadlines consistently. - Experience working in a corporate environment or agency setting is preferred. Benefits - ESOPs: You’ll be eligible for Employee Stock options. - Comprehensive Benefits: Flexible, top-tier benefits package in line with Indian market standards. - Professional Growth: Thrive in a fast-paced environment that encourages innovation, continuous learning, and career progression.

• Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting • Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards • Optimize report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives) • Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices • Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations • Implement data modeling best practices (star schema, DAX optimization, row-level security) • Partner with engineering to ensure alignment between data pipelines and reporting layer • Validate data outputs and ensure consistency between reports and source systems • Troubleshoot data discrepancies, refresh failures, and performance issues • Contribute to monitoring, testing, and documentation of reporting solutions • Implement and validate Row Level Security in a multi-tenant environment • Work closely with business stakeholders to refine requirements and prioritize features • Participate in design discussions, backlog refinement, and peer reviews • Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences • Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy • Support self-service analytics by enabling well-documented datasets and consistent definitions • Drive improvements in deployment practices, governance, and lifecycle management