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Job DescriptionOverall, 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 Real-Time 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.Experience adapting SOLID principles and OOPS methodology for spark coding.Good to have:• Experience / Knowledge on Containerizations - Docker, Kubernetes• Experience working in Agile MethodologyQualificationsQualifications - BE, MS, M.Tech or MCAAdditional InformationCertifications: Azure Big Data, Databricks Certified Associate
Qualifications
BE, MS, M.Tech or MCA
Additional Information
4- 8 years of exp