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Overall 4 to 8 years of experience in IT Industry.
Min 4 years of experience working on Data Engineering using Azure Databricks Synapse ADF/Airflow.
At least 3 Project experience in Building and maintaining ETL / ELT pipelines for large data sets complex data processing transformations business logics cost monitoring & performance optimization and feature engineering processes.
Must Have skills:
Extensive experience with Azure Databricks (ADB) Delta Lake Azure Data Lake Storage (ADLS) Azure Data factory (ADF) Azure SQL Database (SQL DB) SQL ELT / ETL Pipeline Development in Spark based environment.
Extensive Experience with SparkCore PySpark Python SparkSQL Scala Azure Blob Storage.
Experience in RealTime Data Processing using Apache Kafka/EventHub/IoT Structured Streaming and Stream analytics.
Experience with Apache Airflow for ELT Orchestration.
Experience with infrastructure management Infrastructure as code (e.g. Terraform)
Experience with CI/CD Version control tools like GitHub Azure DevOps.
Experience with Version control tools building CI/CD pipelines.
Experience with Azure cloud platform.
Good to have:
Experience / Knowledge on Containerizations Docker Kubernetes
Experience working in Agile Methodology
Qualifications
Qualifications BE MS M.Tech or MCA
Additional Information
Certifications: Azure Big Data Databricks Certified Associate
Full Time