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Were looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions to join our data group and help drive the companys core objectives.
As a Senior Technical Data Product, you will serve as the bridge between the data platforms (Data Lake, DWH) and their stakeholders - such as Risk & Compliance, Business, Product - by providing data models and solutions to support the decision-making process and Reporting.

If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the companys growth, then this is the right place for you.


What youll be spending your time on: 

Leading end-to-end data projects to create analytical & data tools and solutions that empower the company.
Conduct data gathering, research, and analysis to generate insights and create solutions that address user needs.
Specifies API endpoints for data access, including authentication and rate limiting.
Describes third-party service and system integrations.
Designs and leads scalable, long-term technical solutions.
Focuses on creating adaptable and high-performance architectures.
Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.
Design, deliver, and maintain technical solutions that align with customer needs, including defining the appropriate architecture and technology stack.
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.

We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.
Responsibilities:
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.

We are looking for a Tech Lead - Data Platform.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create system and feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data