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Locations
* Bulgaria
* Georgia
* Lithuania
* Mexico
* Moldova
* Poland
* Romania
* Ukraine
Company Background
The customer is a well-established global leader in the food manufacturing industry, committed to delivering innovative data solutions to enhance operational insights across a diverse customer base. With a growing SaaS ecosystem, they are now investing in embedded analytics to support real-time, usage-based reporting directly within their core application.
Project Description
The project is focused on implementing native analytical dashboards within a cloud-based SaaS platform. This includes building scalable and cost-efficient data pipelines, transforming raw transactional data into formats optimized for analytics, and leveraging cutting-edge AWS technologies such as Athena, Glue, and S3 tables.
Technologies
* Athena
* Glue
* S3 tables
* AWS
What You’ll Do
* Design and implement in-app analytics and KPI dashboards within a cloud-native SaaS architecture
* Build and optimize data pipelines to curate data from Oracle/PostgreSQL sources into S3 using AWS DMS and Glue
* Develop Parquet/Iceberg-based analytical datasets for querying via Athena
* Optimize queries, catalog structure, and data partitions for performance and cost-effectiveness
* Build secure, intermediate data layers to support external reporting and customer-facing dashboards
* Support frontend engineers by integrating data via AppSync and asynchronous query models
* Conduct architectural reviews and improve the performance of existing analytical queries
* Document data flows, catalog schema, and operational procedures to support the transition during architect leave
* Mentor and support upskilling of internal team members working on the analytics stack
Job Requirements
* 5+ years of experience in data engineering or data analytics
* Strong hands-on experience with AWS Athena, Glue, and S3 in production environments
* Proven knowledge of data lake architectures and AWS DMS
* Experience working with Parquet and/or Apache Iceberg file formats
* Proficiency in designing and maintaining efficient catalog structures for analytics
* Strong SQL skills, especially in PostgreSQL; familiarity with Oracle-to-Postgres migration
* Solid understanding of ETL/ELT workflows, data transformation, and performance optimization
* Experience working with frontend teams and exposing data to reporting interfaces
* English level: B1+ (spoken and written)
Nice To Have
* Experience integrating data with React / AppSync dashboards
* Familiarity with Apache Iceberg and best practices for large datasets
* Background working with ERP systems or financial data pipelines
* Understanding of usage-based cloud cost optimization strategies
What Do We Offer
**The Global Benefits Package Includes**
* Technical and non-technical training for professional and personal growth;
* Internal conferences and meetups to learn from industry experts;
* Support and mentorship from an experienced employee to help you professional grow and development;
* Internal startup incubator;
* Health insurance;
* English courses;
* Sports activities to promote a healthy lifestyle;
* Flexible work options, including remote and hybrid opportunities;
* Referral program for bringing in new talent;
* Work anniversary program and additional vacation days.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development