Company Overview :

Is a leading provider of data-driven solutions, empowering businesses across the financial services and healthcare sectors to unlock the full potential of their data.

We specialize in building robust and scalable data platforms that enable advanced analytics, reporting, and data-driven decision-making.

Our expertise spans the entire data lifecycle, from data ingestion and processing to data warehousing and visualization.

Role Overview :

We are seeking a highly motivated and experienced Azure Data Engineer to join our growing team in Pune. In this role, you will be responsible for designing, building, and maintaining our Azure-based data platform.

You will collaborate closely with data scientists, analysts, and business stakeholders to understand their data requirements and translate them into scalable and efficient data solutions. Your work will directly impact our ability to deliver valuable insights to our clients and drive business growth.

Key Responsibilities :

- Design and implement data pipelines using Azure Data Factory, Azure Databricks (Spark), and other Azure services to ingest, process, and transform large volumes of data from various sources.

- Develop and maintain data models and data warehouses in Azure Synapse Analytics or other Azure data storage solutions to support business intelligence and analytics requirements.

- Implement data governance policies and procedures to ensure data quality, security, and compliance.

- Build and deploy ETL processes to load data into data warehouses and data lakes.

- Collaborate with data scientists and analysts to develop and deploy machine learning models and analytical dashboards using Power BI.

- Optimize data pipelines and data storage solutions for performance and scalability to meet growing data demands.

- Monitor and troubleshoot data pipelines and data storage solutions to ensure data availability and reliability.

- Contribute to the development of data engineering best practices and standards to improve the efficiency and effectiveness of our data engineering team.

Required Skillset:

- Demonstrated ability to design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks (Spark), and other Azure services.

- Proven expertise in data modeling, data warehousing, and ETL processes.

- Strong proficiency in SQL and Python programming languages.

- Experience with data governance principles and practices.

- Ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- Adaptable to working in a fast-paced, collaborative environment in Pune.