Senior Business Intelligence Developer

5 days ago


nadiad, India beBeeDataEngineering Full time

Job Title: Data EngineerThis is a challenging role that requires the development and maintenance of large-scale data processing systems using Spark or Pyspark, SQL, and Python.Key ResponsibilitiesDesign and implement scalable data pipelines on Databricks, utilizing cloud services (Azure/GCP/AWS).Familiarity with Hadoop, Hive, Sqoop is beneficial for this role.RequirementsAt least 4 years of experience in data engineering with a strong background in SQL (T-SQL) querying, managing, and troubleshooting Azure SQL databases.Understanding of cloud concepts like IaaS, PaaS, SaaS, and Azure architecture.Skills and QualificationsAzure Data Services: Experience with Azure Data Lake Store and Azure Analysis Services.Azure Data Factory: Expertise in ETL pipeline creation and data integration from various sources.Azure Synapse Analytics: Skills in big data processing, SQL performance tuning, and data visualization.Azure Databricks: Proficiency in Spark-based data engineering, machine learning model deployment, and real-time analytics.Data Visualization & Reporting: Basic understanding of Power BI and ability to create simple reports and dashboards.



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