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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
As a Data Engineer, you will: Work across workstreams to support data requirements including reports and dashboards Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications Develop data pipeline automation using Azure technologies stack, Databricks, Data Factory Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools
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