Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Pune, MH, IN
Actively hiring, first seen by us 1 day agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
We are seeking a Big Data Platform Administrator to join the Data Platform Service function in Pune, supporting critical Cloudera Hadoop, Apache Kafka and Apache NiFi platforms.
Run day-to-day administration and monitoring of Cloudera Hadoop, Kafka and NiFi
Troubleshoot NiFi and Kafka data-flow and ETL failures with root-cause analysis
Plan and execute upgrades, patching and configuration changes
Monitor platform performance, capacity and availability
Build and maintain Ansible and Shell scripts to automate operations
We are seeking a Big Data Platform Administrator to join the Data Platform Service function in Pune, supporting critical Cloudera Hadoop, Apache Kafka and Apache NiFi platforms. This role focuses on ensuring secure, reliable and efficient platform operations, including production support, troubleshooting NiFi and Kafka data flows, platform upgrades, configuration management, monitoring and automation. You will work across application, infrastructure, operations and support teams to resolve complex platform and ETL issues while maintaining service availability and performance. You will bring hands-on Big Data administration expertise, strong UNIX/Linux troubleshooting capabilities and an automation-focused approach using Ansible and Shell scripting.
Own the day-to-day administration, monitoring and operational support of Cloudera Hadoop, Apache Kafka and Apache NiFi platforms
Troubleshoot NiFi and Kafka data-flow and ETL failures, including processor, connectivity, schema, throughput and data-flow issues, and perform structured root-cause analysis
Plan and execute platform upgrades, patching, configuration changes and health checks
Monitor platform performance, resource utilisation, availability and capacity
Develop and maintain operational automation using Ansible and Shell scripting
Strong hands-on experience administering Cloudera Hadoop, Apache Kafka and Apache NiFi in production environments. Practical knowledge of NiFi and Kafka flow-based ETL, with experience troubleshooting processor, connectivity, schema, throughput and data-flow errors. Excellent UNIX/Linux administration knowledge, including process management, resource scheduling, storage, networking and security fundamentals. Strong knowledge of the Hadoop ecosystem, particularly HDFS, YARN, HBase, Apache Hive and Impala. Experience using Ansible for configuration management, complex installations and repeatable operational processes. Strong Shell scripting skills for platform administration, monitoring and automation. Effective production troubleshooting and root-cause analysis capabilities. A collaborative approach to stakeholder communication, with the ability to take ownership of critical services and work effectively across technical teams. An analytical, detail-oriented and proactive approach to resolving operational issues. A degree or higher qualification in Computer Science, Information Technology, Software Engineering or a related technical discipline, together with relevant hands-on Big Data platform administration and production-support experience. Experience with platform monitoring, capacity planning, security hardening and disaster-recovery activities is preferred. A Cloudera certification is desirable.
The opportunity to administer and support business-critical Hadoop, Kafka and NiFi platforms with direct impact on application and data-flow reliability. Exposure to complex production environments spanning application, infrastructure and operations teams. Opportunities to contribute to platform upgrades, capacity planning, standardisation and operational improvement. Scope to develop automation that reduces manual effort, improves configuration consistency and prevents recurring operational issues. Ownership of technically challenging incidents and platform changes, providing meaningful opportunities to deepen distributed-platform expertise.
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
45 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
About this Role We are seeking a Big Data Platform Administrator to join the Data Platform Service function in Pune, supporting critical Cloudera Hadoop, Apache Kafka and Apache NiFi platforms. This role focuses on ensuring secure, reliable and efficient platform operations, including production support, troubleshooting NiFi and Kafka data flows, platform upgrades, configuration management, monitoring and automation. You will work across application, infrastructure, operations and support teams to resolve complex platform and ETL issues while maintaining service availability and performance. You will bring hands-on Big Data administration expertise, strong UNIX/Linux troubleshooting capabilities and an automation-focused approach using Ansible and Shell scripting. What you’ll do
What you’ll do Own the day-to-day administration, monitoring and operational support of Cloudera Hadoop, Apache Kafka and Apache NiFi platforms supporting critical applications. Troubleshoot NiFi and Kafka data-flow and ETL failures, including processor, connectivity, schema, throughput and data-flow issues, and perform structured root-cause analysis. Coordinate with application, infrastructure, operations and support teams to restore services and resolve cross-platform incidents. Plan and execute platform upgrades, patching, configuration changes and health checks, validating changes while minimising operational risk. Monitor platform performance, resource utilisation, availability and capacity, identifying opportunities to improve service stability. Develop and maintain operational automation using Ansible and Shell scripting, reducing repetitive manual activities and improving consistency. Maintain platform standards, technical documentation, capacity reviews and continuous-improvement actions. Apply independent technical judgement during incidents, upgrades and platform changes to select safe and effective remediation approaches. Who you are
Who you are Strong hands-on experience administering Cloudera Hadoop, Apache Kafka and Apache NiFi in production environments. Practical knowledge of NiFi and Kafka flow-based ETL, with experience troubleshooting processor, connectivity, schema, throughput and data-flow errors. Excellent UNIX/Linux administration knowledge, including process management, resource scheduling, storage, networking and security fundamentals. Strong knowledge of the Hadoop ecosystem, particularly HDFS, YARN, HBase, Apache Hive and Impala. Experience using Ansible for configuration management, complex installations and repeatable operational processes. Strong Shell scripting skills for platform administration, monitoring and automation. Effective production troubleshooting and root-cause analysis capabilities. A collaborative approach to stakeholder communication, with the ability to take ownership of critical services and work effectively across technical teams. An analytical, detail-oriented and proactive approach to resolving operational issues. A degree or higher qualification in Computer Science, Information Technology, Software Engineering or a related technical discipline, together with relevant hands-on Big Data platform administration and production-support experience. Experience with platform monitoring, capacity planning, security hardening and disaster-recovery activities is preferred. A Cloudera certification is desirable. Not a perfect fit?
What's in it for you The opportunity to administer and support business-critical Hadoop, Kafka and NiFi platforms with direct impact on application and data-flow reliability. Exposure to complex production environments spanning application, infrastructure and operations teams. Opportunities to contribute to platform upgrades, capacity planning, standardisation and operational improvement. Scope to develop automation that reduces manual effort, improves configuration consistency and prevents recurring operational issues. Ownership of technically challenging incidents and platform changes, providing meaningful opportunities to deepen distributed-platform expertise. What skills you will learn
What skills you will learn Enterprise-scale administration and optimisation of Cloudera Hadoop, Apache Kafka and Apache NiFi. Advanced troubleshooting of distributed systems and flow-based ETL workloads. Platform upgrade, patching and change-management practices for critical production services. Ansible-based configuration management and Shell scripting for operational automation. Platform monitoring, capacity planning, security hardening, disaster recovery and service-reliability practices. Cross-functional incident management, root-cause analysis and continuous improvement. VOIS Equal Opportunity Employer Commitment
Complete your application on vodafone.eightfold.ai. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture
We are seeking a Big Data Platform Administrator to join the Data Platform Service function in Pune, supporting critical Cloudera Hadoop, Apache Kafka and Apache NiFi platforms.
This role focuses on ensuring secure, reliable and efficient platform operations, including production support, troubleshooting NiFi and Kafka data flows, platform upgrades, configuration management, monitoring and automation. You will work across application, infrastructure, operations and support teams to resolve complex platform and ETL issues while maintaining service availability and performance.
You will bring hands-on Big Data administration expertise, strong UNIX/Linux troubleshooting capabilities and an automation-focused approach using Ansible and Shell scripting.
Own the day-to-day administration, monitoring and operational support of Cloudera Hadoop, Apache Kafka and Apache NiFi platforms supporting critical applications.
Troubleshoot NiFi and Kafka data-flow and ETL failures, including processor, connectivity, schema, throughput and data-flow issues, and perform structured root-cause analysis.
Coordinate with application, infrastructure, operations and support teams to restore services and resolve cross-platform incidents.
Plan and execute platform upgrades, patching, configuration changes and health checks, validating changes while minimising operational risk.
Monitor platform performance, resource utilisation, availability and capacity, identifying opportunities to improve service stability.
Develop and maintain operational automation using Ansible and Shell scripting, reducing repetitive manual activities and improving consistency.
Maintain platform standards, technical documentation, capacity reviews and continuous-improvement actions.
Apply independent technical judgement during incidents, upgrades and platform changes to select safe and effective remediation approaches.
Strong hands-on experience administering Cloudera Hadoop, Apache Kafka and Apache NiFi in production environments.
Practical knowledge of NiFi and Kafka flow-based ETL, with experience troubleshooting processor, connectivity, schema, throughput and data-flow errors.
Excellent UNIX/Linux administration knowledge, including process management, resource scheduling, storage, networking and security fundamentals.
Strong knowledge of the Hadoop ecosystem, particularly HDFS, YARN, HBase, Apache Hive and Impala.
Experience using Ansible for configuration management, complex installations and repeatable operational processes.
Strong Shell scripting skills for platform administration, monitoring and automation.
Effective production troubleshooting and root-cause analysis capabilities.
A collaborative approach to stakeholder communication, with the ability to take ownership of critical services and work effectively across technical teams.
An analytical, detail-oriented and proactive approach to resolving operational issues.
A degree or higher qualification in Computer Science, Information Technology, Software Engineering or a related technical discipline, together with relevant hands-on Big Data platform administration and production-support experience.
Experience with platform monitoring, capacity planning, security hardening and disaster-recovery activities is preferred.
A Cloudera certification is desirable.
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
The opportunity to administer and support business-critical Hadoop, Kafka and NiFi platforms with direct impact on application and data-flow reliability.
Exposure to complex production environments spanning application, infrastructure and operations teams.
Opportunities to contribute to platform upgrades, capacity planning, standardisation and operational improvement.
Scope to develop automation that reduces manual effort, improves configuration consistency and prevents recurring operational issues.
Ownership of technically challenging incidents and platform changes, providing meaningful opportunities to deepen distributed-platform expertise.
Enterprise-scale administration and optimisation of Cloudera Hadoop, Apache Kafka and Apache NiFi.
Advanced troubleshooting of distributed systems and flow-based ETL workloads.
Platform upgrade, patching and change-management practices for critical production services.
Ansible-based configuration management and Shell scripting for operational automation.
Platform monitoring, capacity planning, security hardening, disaster recovery and service-reliability practices.
Cross-functional incident management, root-cause analysis and continuous improvement.
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
#JDEnhancedByTARA
LinkedIn: https://www.linkedin.com/company/vois/
Facebook: https://www.facebook.com/voisglobal
Instagram: https://www.instagram.com/voisglobal/
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Pune, MH, IN
Working pattern and location restrictions need checking in the full posting.
VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. Join Us