PUNE · FULLTIME
Associate IT Support Analyst
RI
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Pune · onsite · Posted 44d ago
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Not disclosed2–4 yrsfulltimePune
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Section · 01
About this role
Home Jobs Associate IT Support Analyst
Associate IT Support Analyst
EXL Service
Livefull-timeOn-site
Location
Pune, Maharashtra, India
Experience
2–4 years
Posted on
4 Sept 2026
Apply by 4 Oct 2026(28 days left)
Role at a glance
Openings
1
Experience
2–4 yrs
Salary
Confidential
Workplace
On-site
Eligibility
Open to all
Student status
Not specified
Location
Pune, Maharashtra, India
Categories
Information Technology (IT)
Skills Required
AWSApache SparkHadoopHive
Benefits & Facilities
Certificate / Experience Letter Laptop / Equipment Provided Stipend / Salary Training and Mentorship
Role overview
EXL is actively seeking a dedicated and technically proficient L1 Support Analyst to join our dynamic team in Pune. This pivotal role involves providing essential operational support, ensuring the seamless functioning of critical systems and data processes. As an L1 Support Analyst, you will be instrumental in monitoring, troubleshooting, and resolving issues to maintain high availability and performance for our diverse technology landscape. We are looking for an individual with 2-4 years of relevant experience who is ready to make an immediate impact within a fast-paced environment.
At EXL, we empower our employees to grow their careers by working on cutting-edge technologies and contributing to vital business functions. This full-time, in-office position requires a commitment to collaborate closely with team members and stakeholders, ensuring robust support for our enterprise solutions. If you possess a keen eye for detail, strong problem-solving skills, and a solid foundation in data and cloud technologies, we encourage you to apply and become a key player in our operations team.
Key Responsibilities
Ready to apply
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Apply Now
28 days leftto apply
1 open role
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Other similar roles
Associate IT Support Analyst
EXL Service
Livefull-timeOn-site
Location
Pune, Maharashtra, India
Experience
2–4 years
Posted on
4 Sept 2026
Apply by 4 Oct 2026(28 days left)
Role at a glance
Openings
1
Experience
2–4 yrs
Salary
Confidential
Workplace
On-site
Eligibility
Open to all
Student status
Not specified
Location
Pune, Maharashtra, India
Categories
Information Technology (IT)
Skills Required
AWSApache SparkHadoopHive
Benefits & Facilities
Certificate / Experience Letter Laptop / Equipment Provided Stipend / Salary Training and Mentorship
Role overview
EXL is actively seeking a dedicated and technically proficient L1 Support Analyst to join our dynamic team in Pune. This pivotal role involves providing essential operational support, ensuring the seamless functioning of critical systems and data processes. As an L1 Support Analyst, you will be instrumental in monitoring, troubleshooting, and resolving issues to maintain high availability and performance for our diverse technology landscape. We are looking for an individual with 2-4 years of relevant experience who is ready to make an immediate impact within a fast-paced environment.
At EXL, we empower our employees to grow their careers by working on cutting-edge technologies and contributing to vital business functions. This full-time, in-office position requires a commitment to collaborate closely with team members and stakeholders, ensuring robust support for our enterprise solutions. If you possess a keen eye for detail, strong problem-solving skills, and a solid foundation in data and cloud technologies, we encourage you to apply and become a key player in our operations team.
Key Responsibilities
- Monitor and provide first-level support for various IT systems, applications, and infrastructure, ensuring operational continuity.
- Perform initial troubleshooting, incident resolution, and escalation of complex issues to higher-level support teams when necessary.
- Manage and operate data processing tools and platforms, including Hadoop, Apache Airflow, Spark, and Hive, to ensure efficient data workflows.
- Assist in the deployment and maintenance of cloud-based solutions and services primarily on AWS.
- Support Managed File Transfer (MFT) operations, ensuring secure and timely data exchanges.
- Document all incidents, resolutions, and system changes thoroughly to maintain knowledge bases and improve future support processes.
- Collaborate effectively with cross-functional teams to identify root causes of issues and implement preventative measures.
- Contribute to the continuous improvement of support procedures and operational efficiency.
- 2-4 years of progressive experience in IT support, operations, or a similar technical role.
- Proven expertise in managing and troubleshooting systems utilizing Hadoop, Apache Airflow, Spark, and Hive.
- Demonstrable experience with Amazon Web Services (AWS) for monitoring and basic operational tasks.
- Familiarity with Managed File Transfer (MFT) tools and processes.
- Strong analytical and problem-solving skills with a methodical approach to troubleshooting.
- Ability to work effectively in an in-office setting, 5 days a week, in Pune.
- Excellent communication skills, both written and verbal, for effective collaboration and incident reporting.
- A proactive attitude with a commitment to continuous learning and professional development.
- An opportunity to work with a global leader in data analytics and digital operations, EXL.
- Exposure to advanced technologies and complex enterprise-level systems.
- A collaborative and supportive work environment where your contributions are valued.
- Structured training and mentorship programs to foster professional growth.
- A competitive compensation package commensurate with experience and skills.
Ready to apply
Submit your application
Apply Now
28 days leftto apply
1 open role
Share
LinkedIn WhatsApp
Secured & verified by Riseflake
28d left
Apply Now
Secured by Riseflake
Mobile App
Download Riseflake App
Realtime job alerts, applied job updates, and recruiter messages.
Job Alerts Applied Jobs Recruiter Msg
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Sourced from foundit
Section · 02
Skills
Apache SparkHiveamazon web servicesApache Hadoop