Ташкент, улица Шота Руставели, 19
Job Description
Responsibilities
Design, develop, and operate scalable end-to-end data pipelines from Oracle and PostgreSQL into a Databricks-based lakehouse
Build and maintain data models and transformations supporting analytics, BI, and downstream data products
Contribute to the evolution of the data platform (performance optimization, refactoring, scalability improvements)
Translate business and analytics requirements into reliable and maintainable data solutions
Enable self-service analytics through high-quality, well-documented datasets
Support data visualization and reporting use cases (Power BI, Plotly Dash)
Apply modern engineering practices: Git, CI/CD, DataOps, and DevOps
Work in an agile (Scrum) environment with cross-functional teams
Qualifications
Must have:
Strong experience in Data Engineering (design, implementation, operation of data pipelines)
Hands-on experience with modern data platforms (Databricks, Snowflake, Redshift or similar)
Solid SQL skills and experience with relational databases (Oracle, PostgreSQL preferred)
Strong Python skills for data processing and automation
Experience with ETL/ELT pipelines and data modelling for analytics
Experience working with version control (Git) and CI/CD pipelines
Understanding of REST APIs and data integration patterns
Structured, ownership-driven mindset with strong problem-solving skills
Professional proficiency in English
Experience with Azure DevOps, Jira, or similar tools
Experience with BI and visualization tools (Power BI, Plotly Dash)
Knowledge of frontend technologies (TypeScript, Angular, React)
Experience with NoSQL databases (e.g., MongoDB)
Experience optimizing dashboards or working with advanced analytics use cases
At Accesa:
Physical Wellbeing:Our wellbeing program includes medical insurance, In-house fitness trainer available remotely and 1 on 1 remote sessions with our Sports and Health Coach focused on nutrition counselling and tailored training plans.
Work-Life Fusion -Start with at least 21 vacation days (based on seniority) and earn 1 extra day for each completed year of collaboration — up to 29 days — depending on your tenure in the company and/or industry. Enjoy the flexibility to work from both home and the office.
Growth opportunities:we focus on long-term learning programs that develop both technical and non-technical skills incrementally. Together with your Career Coach you will discuss what are learning resources and platforms you can access in order to develop your skills.
Национальный комитет Республики Узбекистан по статистике
Ташкент
до 3000 USD
Ташкент
от 1500 USD