Data Engineer (Python / SQL / Databricks)

ACCESA

Data Engineer (Python / SQL / Databricks)

Ташкент, улица Шота Руставели, 19

Описание вакансии

Job Description


Our client operates in the agricultural and research-driven industry, leveraging large volumes of field and operational data to enable advanced analytics and continuous innovation.

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

Nice to have:
  • 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:

  • We nurture genuine connections, encourage an active lifestyle, and support the development of a healthy mindset. Our benefits programme is inspired by Maslow’s hierarchy of needs and is designed to prioritise your overall wellbeing.

    To live a wholesome experience inside and outside our offices, we need to take care of our overall wellbeing, from the physical aspect to creating a healthy work-life fusion and looking at learning as a lifelong journey and a shared responsibility between our people and our organisation.
  • 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.

Навыки
  • ETL
  • CI/CD
  • ORACLE
  • PostgreSQL
  • Databricks
  • Snowflake
  • Azure
  • MongoDB
  • TypeScript
  • Power BI
Посмотреть контакты работодателя

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