Data Engineering Lead

5 days ago

rajkot, India Kanerika Inc Full time

Job Location: Hyderabad, Indore and Ahmedabad (India)What You Will Do:- Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.- Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.- Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.- Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.- Work with large datasets and optimize queries and pipelines for performance and scalability.- Ensure data quality, integrity, and availability throughout the data lifecycle.- Automate repetitive data tasks, ensuring timely and accurate reporting.- Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.- Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.- Write clear, efficient, and maintainable code for data transformations and automation.Required Qualifications:- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.- 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.- Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.- Strong experience in Power BI, including report creation, dashboard development, and data modeling.- Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).- Knowledge of cloud platforms, especially Microsoft Azure.- Familiarity with data warehousing concepts and ETL processes.- Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).- Strong programming skills in languages such as Python, SQL, or other relevant languages.- Ability to troubleshoot and optimize data pipelines for performance and reliability.Preferred Qualifications:- Familiarity with data modeling techniques and practices for Power BI.- Knowledge of Azure Databricks or other data processing frameworks.- Knowledge of Microsoft Fabric or other Cloud Platforms.What we need?- B. Tech computer science or equivalent.

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