Job Description :

This is for one of the leading NBFC Company operating in PAN India location. Work location would be Kurla-Mumbai. Building/Maintaining Data lakehouse for FSS level for different line businesses of the Company.

Responsibilities :

- Design, architect, and develop end-to-end data solutions on the Azure Stack platform.

- Implement and optimize data pipelines, ETL processes, and data integration solutions using.

- Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, and other relevant.

Azure services :

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

- Perform advanced data modelling, data profiling, and data quality assessments to ensure accurate and reliable data.

- Optimize data processing workflows for performance, scalability, and cost efficiency.

- Implement data governance, data security, and compliance practices in line with industry standards and regulations.

- Monitor and troubleshoot data solutions, identify, and resolve issues, and implement proactive measures to ensure data availability and reliability.

- Mentor and guide junior data engineers, provide technical leadership, and contribute to the continuous improvement of data engineering practices.

Key Challenges :

- Interaction with all stakeholders across various business, IT functions and implementation partners.

- Creating a data culture and data awareness in the organization by implementing centralized data Lakehouse, Data warehouse.

- Decision Making Authority (Describes the type of decisions made alone, those on which the manager must be consulted, those referred to a higher level, and job procedures to be followed).

Qualifications :

- Bachelor's or master's degree in computer science, Information Systems, or a related field.

- Experience with cloud-based analytics platforms such as Databricks, Azure Synapse analytics, Other data specific cloud services.

- Familiarity with DevOps practices and CI/CD pipelines for data engineering.

Skills :

- Team management skills.

- Problem Solving.

- Communication.

Skills :

- Interpersonal Skills.

- Collaboration Skills.

Knowledge :

- Python/SQL programming.

- Extensive hands-on experience with Azure data services such as Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, etc.

- Proven expertise in designing and implementing complex data integration solutions and data pipelines on the Azure Stack platform.

- Experience with data governance frameworks, data security, and compliance practices.

- In-depth knowledge of big data technologies such as Apache Spark, Hadoop, or Databricks.

Competencies :

- Strong problem-solving, analytical, and troubleshooting skills.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Strong problem-solving, analytical, and troubleshooting skills