11+ Loan servicing Jobs in Pune | Loan servicing Job openings in Pune

● Generate loan leads from the partnered institutions, open market and through different channels on the field.
● Develop and maintain relationships with partnered institutions and repeat business
and referral/s.
● Arrange and plan events to generate leads, and handle product queries and
service issues in the partnered institutions.
● Meet clients, verify documents, process files, coordinate for sanction /
disbursement of loans, personalized service to clients.
● Ensure the achievement of a given business target in your territory.

Experience: 1year+ in Banking sales such as personal loans, and home loans.

Key Responsibilities:

1.      Candidate Sourcing:

o   Utilize various sourcing methods (job portals, social media, networking) to identify potential candidates.

o   Assist in building a talent pipeline for current and future hiring needs.

2.      Screening and Shortlisting:

o   Review resumes and applications to ensure they meet job requirements.

o   Conduct initial phone screenings to assess candidate suitability.

3.      Coordination:

o   Schedule interviews and assessments, ensuring a smooth and efficient recruitment process.

o   Communicate with candidates and hiring managers to coordinate interview logistics.

4.      Interview Support:

o   Participate in interviews and assessments, gaining exposure to interview techniques and evaluation criteria.

o   Provide feedback to candidates and assist in maintaining positive candidate experience.

5.      Documentation:

o   Maintain accurate and up-to-date records of new joiners through KYC

o   Verify the document submitted by the new joiners.

6.      Market Research:

o   Stay informed about industry trends and best practices in recruitment.

o   Contribute to the development of innovative recruitment strategies.

Benefits:

·        Mentorship from experienced HR professionals.

·        Exposure to a dynamic and fast-paced work environment.

·        Opportunity to build a professional network in the HR and recruitment field.

·        Potential for a full-time position upon successful completion of the internship.

Preferred candidate profile

Qualifications:

·        Currently pursuing a Bachelor's or Master’s degree in Human Resources, Business Administration, or a related field.

·        Strong communication skills, both written and verbal.

·        Detail-oriented with excellent organizational skills.

·        Ability to work collaboratively in a team environment.

·        Familiarity with basic HR concepts and recruitment processes.

Shift Timings: - 1pm to 10pm

Working Days: - Mon – Fri

Stipend – Rs.5000/-

Location – ITPP, Kharadi - Pune

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.