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Senior Data Engineer
We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.
Responsibilities:
Support sales processes by designing and delivering agile data and AI projects in collaboration with the account managers, project managers, and delivery managers .
Lead strategic discussions with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
Own the technical solutions for data, analytics, AI, and ML projects.
Build POCs for customers (hands-on).
Deliver top-quality design and architecture documents to our customers.
Build and control training plans for the team members towards new technologies required for future projects.

We are looking for a savvy Senior Data Engineer to join our growing team of data experts. The hire will be responsible for migrating to the cloud, optimizing our customers databases and data flows, and enriching our operational and functional data flows with AI/ML algorithms.
The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.
Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

We are looking for a talented Data Engineer to join our analytics team in the Big Data Platform group.
You will support our product and business data initiatives, expand our data warehouse, and optimize our data pipeline architecture.
You must be self-directed and comfortable supporting the data needs of multiple systems and products.
The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity to join a team full of outstanding people making a big impact.
We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

This role requires the ability to collaborate closely with both R&D teams and business stakeholders, to understand their needs and translate them into robust and scalable data solutions.

Key Responsibilities
Maintain and develop enterprise-grade Data Warehouse and Data Lake environments
Create data infrastructure for various R&D groups across the organization to support product development and optimization
Work with data experts to assist with technical data-related issues and support infrastructure needs
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for scalability
Build and maintain robust ETL/ELT pipelines for data ingestion, transformation, and delivery across various systems

We are looking for a highly motivated and experienced Data and Software Engineering Team Leader to join the Agent group. With a strong background in BI development, machine learning, AI systems, and tech leadership, you will guide a team in building next-generation SASE application and measurements. If you're passionate about cyber security, distributed systems, and shaping cutting-edge technology, this is your chance to make a broad impact.

The Agent group is responsible for developing robust VPN and Internet Security applications. As a team leader, you'll drive technological innovation, mentor a high-performing team, and write scalable, maintainable, and efficient code that forms the core of our on-device protection.

Key Responsibilities
Lead, manage, and mentor a team of software engineers from diverse technical backgrounds.
Own measurement and analysis solutions development, task tracking, and deadline management.
Collaborate closely with cross-functional teams and customers to address complex problems and develop innovative features.
Drive the creation of robust, various scalable measurement and analysis solutions for Agent applications.
Foster a culture of continuous improvement within the team.

Required Senior Data Engineer
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

Data Infrastructure team is seeking a talented Data (Infra) Engineer to join us.
In this role, youll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. Youll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.
Were looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.
In This Role, You Will:
Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.

We are looking for a highly skilled Senior Data Analyst with strong technical expertise and a passion for analyzing and optimizing mobile app performance. The ideal candidate will have extensive experience in data analysis, A/B testing, and working with causality models to drive actionable insights.
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities:
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

Required Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Required Director, Analytics Risk & Fraud
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

Required Data Science Team Lead
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Science Team Lead your leadership and expertise will progress our AI vision and strategy. This role demands a strong background in mathematics and statistics. You will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems at a high s
Responsibilities:
Be a technical leader of data scientists, with substantial scope, impact, and visibility. Mentoring and providing guidance and support to foster their growth and success.
Work with management and partner teams to design and implement key results for the companys most strategic initiatives.
Own the full data science lifecycle, including problem definition, data collection, model development, evaluation, deployment, and monitoring.
Autonomously find solutions to complex data science problems, with potentially non-trivial solutions, and understand the data generation process and challenges with the data.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing data team. In this role, you will create scalable and reliable BI solutions, supporting our analysts, product, and operations teams with validated and actionable insights.
You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.
Core Responsibilities:
Dashboard & Reporting Development  Design, implement, and iterate KPI‑oriented Tableau dashboards, workbooks, and scheduled extracts that expose product, growth, and engagement signals.
Data Quality & Governance  Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
ETL / ELT Engineering  Partner with Data Engineering to architect, orchestrate, and tune batch and streaming pipelines. Hands‑on experience with Amazon Redshift and the Azkaban scheduler is a significant advantage.
Semantic‑Layer Stewardship  Own dimensional data models (star schemas), dbt models, and calculated fields to provide a single source of truth with predictable query performance.
Automation & Performance Optimisation  Eliminate manual data handling, reduce query latency, and lower compute spend through efficient SQL, materialised views, incremental loads, and caching strategies.
Stakeholder Enablement  Translate analytical requirements from Product, Marketing, Operations, and Executive teams into scalable, self‑service solutions; author documentation and deliver enablement sessions on metric definitions and Tableau best‑practices.

We are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.