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Data Operations Analyst L3

Wipro

Data Operations Analyst L3

Wipro

Santa Clara, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$45,000 - $121,000

Benefits & Perks

Healthcare

Disability Insurance

Paid Time Off

Parental Leave

Healthcare

Parental Leave

Required Skills

AWS

Python

Shell scripting

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description:

Role Purpose:

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

What you'll be doing:

  1. Responsible for the architecture, operation, and maintenance of enterprise Managed File Transfer (MFT) and orchestration platforms (e.g., Go Anywhere, Airflow) across hybrid environments.

  2. Monitor and optimize job executions and workflows to ensure data timeliness, accuracy, and successful completion across the organization.

  3. Monitor and maintain system(s) to ensure smooth execution. And take precaution action to minimize downtime.

  4. Manage complex data movements between on-premise systems and cloud platforms (AWS, GCP), ensuring secure and efficient transfer to storage services like S3 or Google Cloud Storage.

  5. Lead data analysis to solve complex data transfer issues; analyze job failures and system alerts to perform deep-dive troubleshooting, root cause analysis, and escalation.

  6. Identify operational gaps in data workflows and orchestration logic, and recommend improvement actions to streamline B2B and cloud operations.

  7. Collaborate with IT, infrastructure, network, security, and cloud engineering teams to resolve incidents and improve system availability.

  8. Leverage analytical techniques to review logs and monitoring data (e.g., Splunk, CloudWatch, MFT logs) to identify hidden patterns, recurring issues, and opportunities for automation.

  9. Design and assist in onboarding new data workflows, including job configuration, scheduling, and ensuring data quality through validation of file completeness.

  10. Build, update, and maintain scripts (Python, Shell) to automate manual processes and support complex orchestration requirements in cloud and Linux environments.

  11. Document SOPs, runbooks, and operational procedures to drive support efficiency, standardization, and knowledge sharing.

  12. Participate in UAT and production validation for platform-related changes, enhancements, and patches.

  13. Help identify and solve user report issues.

  14. Help with support of ad-hoc tasks and deal with abnormal situations.

Competencies

Client Centricity

Passion for Results:

Execution Excellence

Collaborative Working

Learning Agility

Problem Solving & Decision Making:

Effective communication

Mandatory Skills: AWS Cloud Data Platform Engineering .

Experience: 3-5 Years .

The expected compensation for this role ranges from $45,000 to $121,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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About Wipro

Wipro

A technology services and consulting company focused on building solutions that address clients' digital transformation needs.

10,001+

Employees

Bengaluru

Headquarters

$8.5B

Valuation

Reviews

3.4

4 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.5

Career

2.0

Management

1.5

15%

Recommend to a Friend

Pros

Good for resume/brand name

Broad technical experience

Exposure to multiple tech stacks

Cons

Poor management quality

Low compensation

Toxic work environment

Salary Ranges

41,395 data points

Junior/L3

Mid/L4

Junior/L3 · Programme Analyst

9,288 reports

$86,024

total / year

Base

$86,024

Stock

-

Bonus

-

$54,642

$135,427

Interview Experience

5 interviews

Difficulty

2.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 100%

Neutral 0%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment/Aptitude Test

3

Technical Interview

4

HR Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit