Offer summary

Qualifications:

7+ years of experience in data architecture and engineering., Expertise in big data technologies and ETL/ELT processes., Strong knowledge of Apache Kafka, Spark, PostgreSQL, and data modeling., Upper-Intermediate level of English and Ukrainian..

Key responsabilities:

Design the architecture for the data analytics platform.

Develop scalable data models and data pipelines.

Ensure integration of various data sources and implement modern data components.

Collaborate with data scientists and engineers to ensure platform usability.

Job description

You'll be part of a dynamic team developing a cutting-edge Analytical Platform for one of the largest resorts and casino companies in Southeast Asia. This mission-critical application is designed to empower client stakeholders with deep insights into customer behavior, enabling data-driven decision-making and strategic business development.

Project description

The platform will play a pivotal role in shaping the company's future by:

- Enhancing customer engagement through data-driven personalization and targeted marketing strategies.

- Optimizing business operations by leveraging real-time analytics for revenue forecasting, operational efficiency, and risk management.

- Driving strategic growth by identifying emerging trends, uncovering new revenue opportunities, and improving competitive positioning in the market.

You'll be working with state-of-the-art open-source technologies such as Apache Kafka, Spark, Airflow, ClickHouse, MLflow, and PostgreSQL, collaborating with top-tier engineers, data scientists, and business analysts to deliver a high-performance, scalable, and secure platform.

If you're passionate about big data, advanced analytics, and AI-driven solutions, this is an exciting opportunity to contribute to a transformational project in a fast-paced, high-impact environment.

Requirements

7+ years of experience in data architecture, engineering, and database design.
Expertise in data lakes, data warehousing, ETL/ELT processes, and big data technologies.
Strong knowledge of Apache Kafka, NiFi, Spark, PostgreSQL, ClickHouse, Apache Iceberg, and Delta Lake.
Experience with data modeling, schema design, and performance tuning for analytical workloads.
In-depth understanding of data security, governance, access control, and compliance (e.g., GDPR, SOC 2).
Familiarity with cloud services (AWS, GCP, Azure) for data storage, processing, and orchestration.
Hands-on experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Ansible) for deployment and automation.
Ability to optimize query performance and handle large-scale distributed data processing.
Knowledge of real-time data processing and streaming architectures.
Experience with Metabase, Grafana, or other monitoring tools for data observability and analytics.
Strong problem-solving skills and ability to design highly scalable, fault-tolerant solutions.
Experience in collaborating with data scientists, engineers, and business analysts to ensure seamless data integration and usability.
Upper-Intermediate level of English and Ukrainian

Responsibilities:

Design the architecture for the open-source-based data analytics platform.
Develop scalable data models, data pipelines, and data lakes.
Ensure integration of various data sources, including Kafka, NiFi, Apache Airflow, and Spark.
Implement modern data platform components like Apache Iceberg, Delta Lake, ClickHouse, and PostgreSQL.
Define and enforce data governance, security, and compliance best practices.
Optimize data storage, access, and retrieval for performance and scalability.
Collaborate with data scientists, engineers, and business analysts to ensure platform usability.

Benefits