Data Platform Engineer
Full Time
full-time
17 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Moderate value score is given due to the notable employer brand (Accenture) and potential career progression in a high-demand field, despite the limited remote work options.
- Strong employer reputation (Accenture)
- Growing demand for data platform skills
- Focus on collaboration in a tech-driven environment
- Set expectation of on-site work
Pros
- Reputable organization with potential for professional development
- High market demand for data platform-related skills
- Collaboration with diverse teams in a challenging environment
Cons
- Limited remote work as position is office-based
- Requires significant experience in a niche technology
- High pressure to maintain system uptime and performance
Who it's for
Mid to Senior • On-site
Good fit
- Experienced data engineers and architects
- Professionals with Cloudera experience
- Team players in high-pressure work settings
Not recommended for
- New graduates or those lacking relevant experience
- Candidates looking for fully remote positions
- Individuals with aversion to performance pressure
Motivation fit
Desire to work with cutting-edge data platformsInterest in solving complex data challengesAiming to contribute to significant business initiatives
Key skills
Cloudera Data PlatformData integrationSystems monitoringProblem resolution
Score: 75/100 AI verified analysis
About the job
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Cloudera Data Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: - 1. Deploy, configure, and manage Cloudera CDP clusters on-prem including services like HDFS, YARN, Hive, Impala, Spark, Kafka, HBase, and Ranger. 2. Monitor cluster health and performance using Cloudera Manager; perform capacity planning, resource tuning, and proactive issue resolution. 3. Implement security and governance controls including Kerberos authentication, TLS encryption, Ranger policies, and integration with LDAP/AD for role-based access. 4. Perform upgrades, patching, and backup/recovery operations across Cloudera components, ensuring minimal downtime and compliance with SLAs. 5. Troubleshoot and resolve cluster-level issues including service failures, job errors, and performance bottlenecks using logs, metrics, and diagnostic tools. 6. Collaborate with data engineering and DevOps teams to support CI/CD pipelines, data lake architecture, and integration with cloud platforms Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloudera Data Platform. - Strong understanding of data integration techniques and best practices. - Experience with data modeling and database design. - Familiarity with big data technologies and frameworks. - Ability to troubleshoot and optimize data workflows. Additional Information: - The candidate should have minimum 5 years of experience in Cloudera Data Platform. - This position is based in Mumbai. Work from Client office, No WFH - A 15 years full time education is required.
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Cloudera Data Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: - 1. Deploy, configure, and manage Cloudera CDP clusters on-prem including services like HDFS, YARN, Hive, Impala, Spark, Kafka, HBase, and Ranger. 2. Monitor cluster health and performance using Cloudera Manager; perform capacity planning, resource tuning, and proactive issue resolution. 3. Implement security and governance controls including Kerberos authentication, TLS encryption, Ranger policies, and integration with LDAP/AD for role-based access. 4. Perform upgrades, patching, and backup/recovery operations across Cloudera components, ensuring minimal downtime and compliance with SLAs. 5. Troubleshoot and resolve cluster-level issues including service failures, job errors, and performance bottlenecks using logs, metrics, and diagnostic tools. 6. Collaborate with data engineering and DevOps teams to support CI/CD pipelines, data lake architecture, and integration with cloud platforms Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloudera Data Platform. - Strong understanding of data integration techniques and best practices. - Experience with data modeling and database design. - Familiarity with big data technologies and frameworks. - Ability to troubleshoot and optimize data workflows. Additional Information: - The candidate should have minimum 5 years of experience in Cloudera Data Platform. - This position is based in Mumbai. Work from Client office, No WFH - A 15 years full time education is required.
