Algotale is seeking a skilled Azure Databricks Developer to design, develop, and optimize scalable data solutions on the Azure cloud platform. The ideal candidate will have strong expertise in big data processing, ETL pipelines, and distributed computing using Databricks.
Key Responsibilities
Develop and maintain scalable data pipelines using Azure Databricks
Design and implement ETL/ELT workflows using PySpark / Spark SQL
Work with Azure Data Lake Storage (ADLS), Azure Synapse, and other Azure services
Optimize performance of Spark jobs and data workflows
Collaborate with data engineers, analysts, and business stakeholders
Implement data quality checks, monitoring, and logging
Ensure data security and governance best practices
Troubleshoot and resolve data pipeline issues
Required Skills & Qualifications
Strong experience with Azure Databricks
Proficiency in Python (PySpark) and SQL
Experience with Apache Spark and distributed data processing
Hands-on experience with Azure ecosystem:
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics
Understanding of data warehousing concepts
Experience in building batch and streaming pipelines
Familiarity with version control tools like Git
Preferred Skills
Experience with Delta Lake
Knowledge of CI/CD pipelines (Azure DevOps)
Exposure to Kafka / Event Hubs for streaming
Understanding of data modeling techniques
Certifications in Azure (e.g., DP-203) are a plus
Soft Skills
Strong problem-solving and analytical skills
Positive communication and collaboration abilities
Ability to work in an agile workplace
Why Join Algotale?
Opportunity to work on cutting-edge cloud data technologies
Team-oriented and growth-oriented environment
Exposure to large-scale data engineering projects
📌 Algotale Delphi Azure Databricks Developer Pune (India)
🏢 NextHire
📍 India
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