Posted on: 02/03/2026



Note : Women Candidates Preferred
Job Description :
- Define data retention policies
- Monitor performance and advise any necessary infrastructure changes
- Mentor junior engineers and work with other architects to deliver best in class solutions
- Implement ETL / ELT process and orchestration of data flows
- Recommend and drive adoption of newer tools and techniques from the big data ecosystem
- 10+ years in industry, building and managing big data systems
- Building, monitoring, and optimizing reliable and cost-efficient pipelines for SaaS is a must
- Building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Dealing and integrating with data storage systems like SQL and NoSQL databases, file systems and object storage like s3
- Reporting solutions like Pentaho, PowerBI, Looker including customizations
- Developing high concurrency, high performance applications that are database-intensive and have interactive, browser-based clients
- Working with SaaS based data management products will be an added advantage
- Proficiency and expertise in Cloudera / Hortonworks
- Spark
- HDF and NiFi
- RDBMS, NoSQL like Vertica, Redshift, Data Modelling with physical design and SQL performance
optimization
- Messaging systems, JMS, Active MQ, Rabbit MQ, Kafka
- Big Data technology like Hadoop, Spark, NoSQL based data-warehousing solutions
- Data warehousing, reporting including customization, Hadoop, Spark, Kafka, Core java, Spring/IOC, Design patterns
- Big Data querying tools, such as Pig, Hive, and Impala
- Open-source technologies and databases (SQL & NoSQL)
- Proficient understanding of distributed computing principles
- Ability to solve any ongoing issues with operating the cluster
- Scale data pipelines using open-source components and AWS services
- Cloud (AWS), provisioning, capacity planning and performance analysis at various levels
- Web-based SOA architecture implementation with design pattern experience will be an added advantage
- Competitive salary and benefits package
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
At Persistent, we are committed to unleashing full potential of every team member - helping them accelerate their professional growth while impacting the world in powerful, positive ways using the latest technologies....
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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1617283