Azure Senior Data Engineer

Must Have Technical/Functional Skills- Azure Data Lake Storage-Gen 2/SQL Db, Azure Databricks, Azure Data Factory, Storage Account/Key vault, Azure DevOps Languages: PySpark, PL/SQL Must Have: Azure Data technologies PaaS components (ADF, ADB, Data Lake),PL/SQL, Hands-on Azure Data technologies experience for at least 2+ years

Good to have: 1. Good communication skills 2. DataStage 3. SQL Server

Roles & Responsibilities • Develop & maintain Azure Data Factory(ADF) Pipelines and Azure Data Bricks(ADB) notebooks (using PySpark) • Migrate RDBMS/traditional ETL workloads into Data Lake/ELT workloads • Analyze, design and implement pertaining to Azure Data Lake and data mart solutions • Able to work directly with client stakeholders • Flexible to work in US overlap hours

Salary Range- $110,000-$120,000 a year

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