Data Analytics Developer

This role involves building and maintaining data pipelines to support enterprise data integration and processing. The candidate will work with ETL tools and cloud platforms to ensure data quality and performance across multiple systems. They will also collaborate with cross-functional teams to align data solutions with business needs.

Summarised by InternDoor from Comviva’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Design and maintain ETL pipelines for data integration and transformation
• Use Talend, Spark, and cloud platforms for large-scale data processing
• Optimize SQL queries and data pipelines for performance and reliability

Required

• ETL development Strong expertise in ETL development, data integration, and large-scale data pipeline design
• ETL tools Hands-on experience with ETL tools such as Talend, Apache NiFi, Airflow, DBT, Hadoop, Spark, or Azure SSIS
• Relational databases Strong experience with relational databases and data warehouses including PostgreSQL, Oracle, MySQL, Teradata, Snowflake, and BigQuery
• Cloud platforms Experience with cloud data engineering platforms and services across AWS, Azure, and GCP
• Data modelling Strong understanding of data modelling concepts, including star schema, snowflake schema, and normalized data models
• Performance tuning Experience in performance tuning, query optimization, partitioning, and large-scale data processing
• API integrations Knowledge of API-based integrations, streaming architectures, and Kafka-based event processing
• CI/CD pipelines Experience implementing CI/CD pipelines using Git, GitHub Actions, Docker, and deployment automation tools
• Data governance Strong understanding of data governance, security controls, IAM, encryption, and data lifecycle management

Nice to have

• Machine learning Experience supporting machine learning pipelines, feature engineering, model deployment, and model scoring frameworks
• Cloud-native Exposure to modern cloud-native architectures and distributed data processing environments
• Reporting tools Experience working with reporting and visualization platforms such as Power BI or Tableau
• Real-time analytics Familiarity with real-time analytics, event-driven systems, and streaming data platforms
• DevOps practices Exposure to DevOps practices and infrastructure automation within data engineering ecosystems
• Mentoring Experience mentoring junior engineers and contributing to technical leadership initiatives
• Master’s degree Master’s degree in Computer Science, Information Systems, Data Engineering, or a related discipline

Read from Comviva’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on Comviva’s careers site. The application is on candidateportal.ceipal.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

6 Nov 2026, on LinkedIn

First seen by InternDoor

6 Nov 2026, within 12 minutes of being posted

Last checked

6 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

Comviva has not stated one

Leaves InternDoor

By 6 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

candidateportal.ceipal.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by Comviva. Postings can close earlier, at any time.

InternDoor has recorded 7 engineering postings from Comviva in India since Oct 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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