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Azure Big data Engineer
4-8 years
Hyderabad / Secunderabad, Bangalore / Bengaluru
1 vacancy
Azure Big data Engineer
Pradeepit Consulting Services
posted 4mon ago
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Flexible timing
Key skills for the job
Job Description
- Overall 4 8 years of experience with a minimum 4+ years of relevant professional work experience with Azure Synapse and Azure Databricks
- ETL Consultant - Databricks / ADF / Synapse, building common logging mechanism for all ETL processes, Build the ingestion process for fact data tables, Building the pipeline temporary pipeline to load data into on premise, Prepare the flow diagram covering it up all required ETLs Prepare folder design document Netezza Box
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Work together with data analysts to understand the needs for data and create effective data workflows.
- Create and maintain data storage solutions including Azure Databricks, Azure Functions, Azure Data Lake, Azure Synapse, Azure Integration Services, Azure API Management, CI/CD and PowerShell Scripts, ADF, ETL Pipelines, Unity Catalog, Azure SQL Database, SQL Coding, Azure SQL Database, Azure Data Lake.
- Utilizing Azure Data Factory to create and maintain ETL (Extract, Transform, Load) operations using ADF pipelines.
- Hands-On Experience working on Data Bricks for implementing Transformations and Delta Lake.
- Hands-On Experience working on Serverless SQL Pool, Dedicated SQL Pool.
- Use ADF pipelines to orchestrate the end to end data transformation including the execution of DataBricks notebooks.
- Should have experience working on Medallion Architecture
- Experience working on CI/CD pipelines using Azure DevOps
- Attaching both ADF and ADB to DevOps
- Creating and managing Azure infrastructure across the landscape using Bicep
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
- Good to have exposure on Power BI, Power Automate
- Good to have knowledge on Azure fundamentals.
- Good ability to anticipate issues and formulate remedial actions
- Sound interpersonal and team working skills
- Sound Knowledge of unit testing methodologies and frameworks
- Should be able to work independently
- Good communication skills
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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