Finance Data Engineer - Lead

Role: -

Responsibilities

Total relevant experience: - 5+

Working /mode: - Hybrid.

(Data Engineering Team).

Work location: - Whitefield (Bengaluru)

Please read the JD carefully before applying.

Overview

The candidate should be proficient in using Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data services. He/she should also have a good understanding of data modelling, ETL & reporting processes like SAS, SunGL & PowerBI, and data warehousing concepts. Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for this role. You will be expected to stay up to date with the latest developments in Azure data technologies and continuously improve your skills.

Key Responsibilities

• Design and implement data solutions using Azure technologies.
• Develop and maintain ETL & data pipelines in SSIS, Azure data flow, Azure data bricks, and PowerBI.
• Ensure data quality and integrity across all data solutions.
• Optimize data storage and retrieval processes for performance.
• Implement data security measures and ensure compliance.
• Monitor and troubleshoot data solutions for issues.
• Stay updated with the latest Azure data technologies.
• Provide technical support and guidance to resolve data related issues.
• Document data solutions and processes for future reference.
• Participate in code reviews and ensure best practices.
• Work with stakeholders to understand data requirements.
• Ensure scalability and reliability of data solutions.
• Conduct performance tuning and optimization.
• Implement data governance policies and procedures.
• Manage and maintain Azure data services and resources.
• Contribute to the continuous improvement of data solutions.
• Ensure data solutions align with business objectives.
• Provide training and support to end-users as needed.

Qualifications

• Bachelor's degree in information technology, Computer Science, or a related field.

• 5+ years of experience in application support, with at least 2 years in Level 2 support or a similar role.
• 5+ Strong understanding of ETL & reporting processes like SSIS, ADF, Azure Databricks, PowerBI and Control-M job scheduling.
• 5+ Familiarity with SAS CAS data load processes and data management tools.
• 5+ Familiarity with finance applications and related processes such as Oracle ERP, SAS, SunGL, others
• Experience with service/incident management and project management tools (e.g., RemedyForce, Jira).
• Proficiency in troubleshooting and root cause analysis.
• Excellent communication skills and experience working with cross-functional teams.
• Willing to work in rotational shifts and occasional On-call support.
• Team Collaboration: Ability to work effectively within a team and collaborate with cross-functional teams.
• Adaptability: Flexibility to adapt to changing priorities and work in a fast-paced, dynamic environment.
• Excellent interpersonal and communication skills, both written and verbal.
• Attention to detail and proactive in identifying potential issues before they escalate.
• Experience with financial or regulatory reporting applications, particularly IFRS17.
• Experience with Disaster Recovery processes and data replication activities.
• Knowledge of audit processes and compliance requirements.

Preferred Qualifications

• Experience with financial applications and understanding of financial processes.
• Certifications in relevant technologies or methodologies (e.g., ITIL, PMP).
• Basic knowledge of cloud platforms (e.g., Azure); Experience with cloud-based monitoring tools and environments.

Work Environment

The Data Engineer Team operates in a collaborative and fast-paced environment. Team members may be required to work outside of standard business hours to monitor critical batch jobs and address issues as they arise. This role may also involve on-call responsibilities.

Akansha.shrivastava@prudentialplc.co.in