Requirements:
*  Design, build, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources.
*  Develop and optimize ETL processes to extract data from multiple sources, transform it according to business requirements, and load it into target databases/ data warehouses cleanse, thus validating and enriching raw data for analytics and reporting purposes.
* Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications for ETL development.
*  Optimize and tune SSIS packages for performance, scalability, and reliability.
* Troubleshoot and resolve issues related to data integration, ETL processes, and data quality.
* Develop and maintain documentation for ETL processes, data mappings, and data lineage.
* Implement data validation and quality checks to ensure accuracy and completeness of data
* Work with database administrators to ensure proper configuration and optimization of database servers and Storage for ETL processes.
* Keep abreast of industry trends and best practices in ETL development and data integration.
*  Develop and maintain monitoring and alerting systems to proactively identify and address data pipeline issues and bottlenecks.
*  Enable the core processes of data visualization tools (e.g., Tableau, Power BI).
*  Performing automation and scripting tasks. ***With the migration to Clouds solutions, the data engineer is to manage the process and to design and maintain data warehouses, data lakes, and other Storage solutions to proliferate and refine structured and unstructured data efficiently.

Requirements:
At least 3 years of in-depth experience working with data (datasets, data quality, integrity, data enrichment and automation) - as a BI Developer and/or Data Analyst / Product Data Analyst
Advanced skills in SQL
Experience in data analytics and/or building data pipelines (ETLs)
Coding experience [JavaScript/ Python] an advantage
Experience with databases - MongoDB, Snowflake - inc. database structures and integration - an advantage
Fast and self-learner with ability to work independently
Excellent analytical and problem solving skills
Excellent communication skills in English

Requirements:
Requirements:
* B.Sc. (or M.Sc.) in Computer Science or Computer/SW Engineering
* 4+ years Java development experience
* Good knowledge of core Java/.net concepts (reflection, threads, object lifecycle, connection/thread pools etc.)
* SQL (MySQL, with proven ability to write native SQL queries)
* Hands-on experience developing cloud-based distributed systems.
* Experience with Spring Boot framework.
* Working level of English.
Advantage:
* Experience in working in Agile methodology.
* Experience in working with AWS services stack.
* Experience with CI / CD methodology.