Senior Kafka Data Engineer: Real-time Pipelines on Azure

Accenture

Kota Semarang

Vor Ort

IDR 100.440.000 - 245.520.000

Vollzeit

14 Tage+
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Zusammenfassung

Accenture is hiring a Data Engineer to work across workstreams, building and optimizing data pipelines, dashboards, and data quality processes. You will profile data, translate business requirements into technical specs, and enable real-time and batch ingestion using Spark, Azure, and Databricks.

Strong English communication is required, with consulting experience a plus. Join a global team delivering data-driven solutions across large-scale applications, leveraging Power BI for visualization

Qualifikationen

  • Bachelor’s degree in CS/IT or related field.
  • Minimum 2 years’ experience in Data Engineering (new grads welcome for some openings).
  • Experience with Python, SQL, Spark, Azure, Databricks.
  • Data visualization with Power BI or equivalent.
  • Experience in client-facing/consulting is a plus.

Aufgaben

  • Support data requirements including reports and dashboards across workstreams.
  • Analyze and profile data to identify patterns and discrepancies.
  • Design and develop end-to-end data pipelines: ingestion, transformation, processing, surfacing.
  • Automate data pipelines using Azure stack, Databricks, Data Factory.
  • Translate business requirements into technical specifications for development.
  • Analyze source data and perform batch and real-time data ingestion (files, APIs, Kafka, Spark Streaming).
  • Develop ETL using Spark and enable data exports, APIs, or visualizations.

Kenntnisse

Team player
Analytical skills
Problem-solving
English communication

Ausbildung

Bachelor’s degree in Computer Science/Computer Engineering/IT or related fields

Tools

Python
SQL
Spark
Databricks
Azure
Power BI
API

Jobbeschreibung

Accenture is hiring a Data Engineer to work across workstreams, building and optimizing data pipelines, dashboards, and data quality processes. You will profile data, translate business requirements into technical specs, and enable real-time and batch ingestion using Spark, Azure, and Databricks.

Strong English communication is required, with consulting experience a plus. Join a global team delivering data-driven solutions across large-scale applications, leveraging Power BI for visualization

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