Job Description

NOTE- Mandatory to have experience in Azure Data Engineering with ADF, ADB, ADLS, Azure Synapse. Hiring for- MNC Client Location- Bangalore (work from office) Role- Senior Analyst- Azure- Data Management Shift - General Purpose- Understand client requirements and build ETL solution using Azure Data Factory, Azure Databricks & PySpark. Build solution in such a way that it can absorb clients change request very easily. Find innovative ways to accomplish tasks and handle multiple projects simultaneously and independently. Works with Data & appropriate teams to effectively source required data. Identify data gaps and work with client teams to effectively communicate the findings to stakeholders/clients . Main accountabilities: Develop ETL solution to populate Centralized Repository by integrating data from various data sources. Create Data Pipelines, Data Flow, Data Model according to the business requirement. Proficient in implementing all transformations according to business needs. Identify data gaps in data lake and work with relevant data/client teams to get necessary data required for dashboarding/ reporting. Strong experience working on Azure data platform, Azure Data Factory, Azure Data Bricks. Strong experience working on ETL components and scripting languages like PySpark, Python. Experience in creating Pipelines, Alerts, email notifications, and scheduling jobs. What are we looking for? Bachelors' degree in Engineering or Science or equivalent graduates with at least 4-7 years of overall experience in data management including data integration, modeling & optimization. Minimum 3 years of experience working on Azure cloud, Azure Data Factory, Azure Databricks. Minimum 2-3 years of experience in PySpark, Python, etc. for data ETL. In-depth understanding of data warehouse, ETL concept and modeling principles. Strong ability to design, build and manage data. Strong understanding of Data integration.