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Wipro - Azure Data Engineer - ETL/PySpark

WiproBangalore, Hyderabad, Pune
Full-timeSenior
👁️ 0 views📝 0 applicationsPosted 8/22/2026Expires 9/21/2026
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Job Description

Job Title : Azure Data Engineer Location : Pune, Hyderabad, Bangalore Experience : 6 to 12 years. Skills : Databricks, Spark/ Pyspark/ Python, ETL, ADF/ Airflow Notice Period : Immediate to 45 Days Job Description : - Expert level skills writing and optimizing complex SQL. - Experience with complex data modelling, ETL design, and using large databases in a business environment. - Experience with building data pipelines and applications to stream and process datasets at low latencies. - Fluent with Big Data technologies like Spark , Kafka and Hive. - Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. - Designing and building of data pipelines using API ingestion and Streaming ingestion methods. - Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. - Experience in developing NO SQL solutions using Azure Cosmos DB is essential. - Thorough understanding of Azure and AWS Cloud Infrastructure offerings. - Working knowledge of Python is desirable. - Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. - Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. - Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks. - Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. - Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards. - Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging.

Required Skills

AirflowAWSAzureCI/CDData WarehousingETLKafkaPythonSparkSQL

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