Компания "XO‘JAYEV O‘TKIR ULKAR O‘G‘LI"
Responsibilities:
Design, develop, and maintain data pipelines using Databricks for big data processing and analytics.
Implement and manage ETL/ELT workflows with Azure Data Factory and Alteryx.
Build and optimize data models and queries in Snowflake to ensure scalability and performance.
Ensure data quality, integrity, and governance across all data platforms.
Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions.
Automate workflows and implement best practices for data engineering, monitoring, and performance tuning.
Support advanced analytics and machine learning initiatives by preparing and delivering high-quality datasets.
Requirements:
Strong hands-on experience with Databricks (PySpark, Spark SQL, Delta Lake).
Proficiency in Snowflake data warehousing, including schema design, query optimization, and performance tuning.
Experience with ADF and Alteryx for workflow orchestration and ETL development.
Strong SQL and Python skills.
Familiarity with cloud platforms (preferably Azure; AWS/GCP is a plus).
Understanding of data governance, security, and compliance standards.
Ability to work independently and in cross-functional teams.
Strong problem-solving and communication skills.
Nice-to-Have:
Experience with BI tools such as Power BI or Tableau.
Knowledge of CI/CD pipelines, DevOps, or DataOps practices.
Exposure to Agile/Scrum methodologies.
Working hours aligned with EST timezone.
Remote position.
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