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- Creating and managing ETL/ELT pipelines based on requirements
- Build PowerBI dashboards and manage datasets needed.
- Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
- Build data cubes for real-time visualisation needs and CXO dashboards.
Required Tech Skills
- Microsoft PowerBI & DAX
- Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
- Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory
We deliver business outcomes by stitching technology, experi
A Business Transformation Organization that partners with businesses to co–create customer-centric hyper-personalized solutions to achieve exponential growth. Invente offers platforms and services that enable businesses to provide human-free customer experience, Business Process Automation.
Location: Hyderabad (WFO)
Budget: Open
Position: Azure Data Engineer
Experience: 5+ years of commercial experience
Responsibilities
● Design and implement Azure data solutions using ADLS Gen 2.0, Azure Data Factory, Synapse, Databricks, SQL, and Power BI
● Build and maintain data pipelines and ETL processes to ensure efficient data ingestion and processing
● Develop and manage data warehouses and data lakes
● Ensure data quality, integrity, and security
● Implement from existing use cases required by the AI and analytics teams.
● Collaborate with other teams to integrate data solutions with other systems and applications
● Stay up-to-date with emerging data technologies and recommend new solutions to improve our data infrastructure
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.