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BizOps Engineer I
BizOps Engineer IMastercard • Pune, MH, India
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BizOps Engineer I

BizOps Engineer I

Mastercard • Pune, MH, India
2 days ago
Job description

Our

Purpose

Mastercard

powers economies and empowers people in 200+ countries and

territories worldwide. Together with our customers, we’re helping

build a sustainable economy where everyone can prosper.

We support a wide range of digital payments choices, making

transactions secure, simple, smart and accessible. Our

technology and innovation, partnerships and networks combine to

deliver a unique set of products and services that help people,

businesses and governments realize their greatest

potential.

Title

and

Summary

BizOps

Engineer I

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Job

Description : Overview

The

Financial Solutions BizOps team is looking for a Site Reliability

Engineer with strong expertise in Apache NiFi and Apache Spark to

support our mission-critical data workflows and analytics

platforms. This role is key to ensuring the smooth, reliability,

and efficient operation of our production systems that power

day-to-day business functions.

You will be

responsible for monitoring, troubleshooting, and supporting complex

data processing pipelines and integrations in real time. Your work

will directly impact business operations, decision-making, and

customer experience.

Business Operations is

leading the DevOps transformation at Mastercard through our tooling

and by being an advocate for change & standards throughout the

development, quality, release, and product organizations. We need

team members with an appetite for change and pushing the boundaries

of what can be done with automation. Experience in working across

development, operations, and product teams to prioritize needs and

to build relationships is a must.

Role

  • Monitor and support

production data pipelines and workflows preferably built on Apache

NiFi and Apache Spark.

  • Provide L2 / L3 support for
  • incidents affecting business operations, ensuring timely resolution

    and minimal downtime.

  • Perform root cause analysis of
  • failures, latency, or anomalies in data processing workflows and

    recommend long-term fixes.

  • Collaborate with business
  • analysts, data engineers, and IT operations to ensure business

    requirements are met and supported in production.

    Maintain SLAs and ensure data quality and processing timeliness for

    operational reports and dashboards.

  • Support deployment,
  • configuration, and performance tuning of NiFi and Spark in

    production environments.

  • Participate in change
  • management and release cycles, ensuring proper validation before

    changes are applied to production.

  • Maintain
  • documentation of workflows, playbooks, support procedures, and

    operational runbooks.

  • Work in an on-call rotation to
  • support 24 / 7 business-critical systems.

    Required Skills

    & Experience

  • 3+ years of experience in
  • production support, business operations support, or data platform

    operations.

  • Strong hands-on experience with Apache NiFi
  • (flow design, error handling, queues, templates, and real-time

    monitoring).

  • Proficiency in Apache Spark (batch and
  • streaming), with knowledge of tuning, job monitoring, and debugging

    in production.

  • Solid understanding of ETL processes,
  • data ingestion, and transformation.

  • Experience
  • supporting data platforms in a Linux-based production

    environment.

  • Proficient in writing and maintaining
  • scripts in Bash, Python, or Shell for automation and

    monitoring.

  • Strong knowledge of log analysis, monitoring
  • tools (e.g., ELK stack, Splunk, Grafana), and incident management

    systems (e.g., xMatters, BMC Remedy).

  • Excellent
  • troubleshooting skills and the ability to work under pressure

    during production incidents.

    Qualifications

  • BS degree in Computer Science
  • or related technical field involving coding (e.g., physics or

    mathematics), or equivalent practical experience.

    Familiarity with Kafka, Hive, or Hadoop ecosystem.

    Exposure to ITIL practices, incident / change management, and

    operational reporting.

  • Experience in industries with
  • strong operational requirements (e.g., finance, telecom,

    healthcare).

    Soft Skills

  • Strong analytical
  • thinking with attention to detail.

  • Ability to work
  • effectively with cross-functional technical and business

    teams.

  • Excellent communication and documentation
  • skills.

  • Proactive attitude with a strong sense of
  • ownership and accountability.

    Why Join

    Us

  • Work in a mission-critical role supporting real-time
  • business operations.

  • Be part of a collaborative team
  • driving operational excellence.

  • Opportunities to grow in
  • a data-driven and fast-paced environment.

  • Competitive
  • compensation, benefits, and flexible work

    options.

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    Corporate Security

    Responsibility

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    All activities involving

    access to Mastercard assets, information, and networks comes with

    an inherent risk to the organization and, therefore, it is expected

    that every person working for, or on behalf of, Mastercard is

    responsible for information security and

    must :

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    Abide by Mastercard’s security policies

    and practices;

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    Ensure the confidentiality and integrity

    of the information being

    accessed;

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    Report any suspected information

    security violation or breach,

    and

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    Complete all periodic mandatory security

    trainings in accordance with Mastercard’s

    guidelines.

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