Job Description
Role : Data Analyst
We are seeking a highly experienced and detail-oriented Data Analyst to join our team in Bangalore. The ideal candidate will have deep expertise in Azure technologies, data pipeline development, and application integration. You will play a key role in developing advanced analytics solutions, supporting business-as-usual (BAU) operations, and enabling strategic decision-making through data.
Key Responsibilities :
– Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and PySpark.
– Leverage Azure Synapse Analytics for data warehousing, advanced analytics, and reporting.
– Apply machine learning techniques to derive insights and support predictive analytics.
– Develop and integrate applications using the .NET Framework for seamless API interactions
and data operations.
– Drive automation and orchestration of data workflows to enhance system performance and reliability.
– Ensure robust application integration across platforms and maintain high data quality.
– Provide BAU (Business As Usual) support, including issue resolution, system monitoring, and performance tuning.
– Collaborate with cross-functional teams to gather business requirements and deliver scalable data solutions.
– Create and maintain technical documentation for processes, systems, and data flows.
– Stay current with the latest advancements in cloud-based analytics and data :
– Bachelors degree in Computer Science, Information Technology, or a related field or equivalent work experience.
– 8+ years of hands-on experience in data engineering and analytics roles.
– Proven experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and PySpark.
– Strong understanding of machine learning concepts and practical implementation.
– Solid experience in data warehousing, ETL, and data pipeline development.
– Proficient in automation tools, workflow orchestration, and application integration.
– Advanced working knowledge of the .NET Framework for API development and integration.
– Excellent problem-solving, analytical thinking, and troubleshooting skills.
– Ability to work independently and collaboratively in a hybrid work environment.
(ref:hirist.tech)