Technical Lead II - Azure Databricks @ Citiustech

Job Description

Roles and Responsibilities

• Design and develop ETL/ELT solutions on Azure Databricks, Delta Lake, Spark and Pyspark
• Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
• Partner with Client Technology to create and maintain the technical architecture of the Enterprise Delta Lake to consolidate data from many systems into a single source for machine learning and reporting analytics
• Design, build, optimize, and manage modern large scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling
• Consume data from a variety of sources (Live streaming from Kafka, Azure Event Hub, RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)
• Write advanced / complex SQL with performance tuning and optimization
• Identify ways to improve data reliability, data integrity, system efficiency and quality

Desired Candidate Profile

• 2+ years of experience in Databricks - Must to have
• Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
• 2+ years of experience in Apache Spark (PySpark / Spark SQL) - Must to have
• 2+ years of experience in Python Must to have
• 3+ years of experience in SQL with designing complex data schemas and query performance optimization
• Experience in processing live data streaming from Azure Event Hub
• Experience with at least one of the following cloud platforms: Azure, AWS or GCP
• Experience in Terraform, Kafka
• Experience in CI/CD technology
• Experience in Git

Perks and Benefits

Job Classification

Education

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Keyskills:   Azure Databricks Data Lake Data Warehousing Databricks Delta Lake Apache Spark