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Data Engineering Lead

Data Engineering Lead

Kanerika IncRajkot, Gujarat, India
20 hours ago
Job description

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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    Data Engineering Lead • Rajkot, Gujarat, India

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