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Azure data engineer

4 months ago

bangalore, India LTIMindtree Full time
Role : ADF+ADB
Experience : 3 to 12 years
Location : Pan india
Notice : Immediate to 30 days max
Responsibilities:
1. Collaborate with technical architect and cloud solutions teams to architect and design data pipelines, data marts, and reporting solutions.
2. Code, test, and optimize Databricks Jobs for efficient data processing, ETL tasks, and report generation.
3. Leverage Databricks to set up scalable data pipelines that integrate with a variety of data sources and cloud platforms.
4. Ensure best practices are followed in terms of code quality, data security, and scalability.
5. Participate in code and design reviews to maintain high development standards.
6. Optimize data querying layers to enhance performance and support analytical requirements.
7. Collaborate with data scientists and analysts to support machine learning workflows and analytic needs.
8. Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
Essential Skills:
1. Proficiency in PySpark or Scala and SQL for data processing tasks.
2. Hands-on experience with Azure Databricks, Delta Lake, Delta Live tables, Auto Loader, and Databricks SQL.
3. Expertise with Azure Data Lake Storage (ADLS) Gen2 for optimized data storage and retrieval.
4. Strong knowledge of data modelling, ETL processes, and data warehousing concepts.
5. Knowledge of Unity Catalog
6. Spark Streaming for processing real-time data streams.
Nice to have Skills:
1. Power BI for dashboarding and reporting.
2. Azure Synapse for analytics and integration tasks.
3. MLOps knowledge for integrating machine learning into production workflows.
4. Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
Experience :
1. Relevant experience of ~5 years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks with total experience of more than 8 years in data engineering
2. Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
3. Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
4. Proficiency in building and optimizing query layers using Databricks SQL.
5. Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
6. Prior experience in developing, optimizing, and deploying Power BI reports.
7. Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
Skills
Azure ADF (with Databricks Delta Lake)