Vacancy Description
Key Responsibilities:
Monitor, maintain, and troubleshoot Azure Data Factory and Databricks pipelines to ensure smooth daily operations.
Handle staging, orchestration, data refresh, and transformation issues; resolve Power BI dataset refresh problems.
Track pipeline performance, optimize resources, and ensure cost‑effective, high‑availability operations.
Support reporting cycles using Power BI and Alteryx; assist users with data models and connections.
Work with internal/external teams to meet audit, security, and SLA requirements; ensure adherence to standards and best practices.
Requirements:
Bachelor's degree in IT, Computer Science, or related field.
5+ years' experience in data engineering, analytics, or BI roles.
Strong skills in SQL, Azure Cloud, Power BI, and ETL concepts.
Familiarity with Python/Java/Scala and big data tools (Spark, Kafka, Hadoop).
Desired Skills and Experience Bachelor's degree in IT, Computer Science, or re...
Monitor, maintain, and troubleshoot Azure Data Factory and Databricks pipelines to ensure smooth daily operations.
Handle staging, orchestration, data refresh, and transformation issues; resolve Power BI dataset refresh problems.
Track pipeline performance, optimize resources, and ensure cost‑effective, high‑availability operations.
Support reporting cycles using Power BI and Alteryx; assist users with data models and connections.
Work with internal/external teams to meet audit, security, and SLA requirements; ensure adherence to standards and best practices.
Requirements:
Bachelor's degree in IT, Computer Science, or related field.
5+ years' experience in data engineering, analytics, or BI roles.
Strong skills in SQL, Azure Cloud, Power BI, and ETL concepts.
Familiarity with Python/Java/Scala and big data tools (Spark, Kafka, Hadoop).
Desired Skills and Experience Bachelor's degree in IT, Computer Science, or re...
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