As a Senior Data Engineer at Generali Central Insurance, based in Mumbai, you will be instrumental in building and maintaining our data infrastructure, enabling data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and business stakeholders to design, develop, and deploy scalable data pipelines, ensuring data quality, integrity, and accessibility. Your work will directly impact our ability to understand customer behavior, optimize business processes, and develop innovative insurance products.

Key Responsibilities :

- Design and implement robust and scalable data pipelines to ingest, process, and transform data from various sources into our data warehouse.

- Develop and maintain data models that support business intelligence, data analytics, and reporting requirements.

- Ensure data quality and integrity by implementing data validation and monitoring processes.

- Collaborate with data scientists and analysts to provide them with the data they need to build and deploy machine learning models.

- Contribute to the development and implementation of data governance policies and procedures.

- Optimize data storage and processing performance to ensure efficient data access and utilization.

- Participate in the evaluation and selection of new data technologies and tools.

Required Skillset :

- Proven ability to design, develop, and implement data warehousing solutions, including ETL processes and data modeling techniques.

- Strong proficiency in data analytics tools and techniques, with the ability to extract insights from large datasets.

- Demonstrated expertise in data management principles and practices, including data quality, data governance, and master data management.

- Experience in data mining techniques and algorithms, with the ability to identify patterns and trends in data.

- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical audiences.

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

- Ability to work effectively in a fast-paced, dynamic environment.

Technical Skillset :

- Experience with Structured Query Language (SQL), MSSQL, SSIS, SSRS or similar ecosystem experience required

- Implemented & maintained on Data Orchestration for Automated/Scheduled Reporting Framework for Mid/Large Size Organization.

- Knowledge of latest open source orchestration tools like Airflow, DAGs, Mage etc. required

- Additional experience in Python scripting in required, knowledge of creating APIs,RPA etc using appropriate Python Packages and Libraries

- Working knowledge of QlikSense or similar BI tool experience required