Kukatpally Hyderabad Telangana Digital product sr manager – ai platforms Jobs – 149 Open Jobs Today

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Staff Engineer - Data

Candescent (Digital First Holdings LLC)
Hyderabad, Telangana

Quick apply

Job details

Full-time

Qualifications

CI/CD
Kubernetes
NoSQL
Git
Google Cloud Platform
Java
Databases
SQL
Database design
Docker
Terraform
Continuous integration
Redis
Software development
APIs
Scalability
Data warehouse
Python

Full job description

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions—creating seamless engagement across digital, remote, and in-person channels.

Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth—turning every customer interaction into a moment of clarity, confidence, and connection.

Senior Data Engineer

Experience - 10 Years - 13 Years

Location: Hyderabad, India

Reports to: Senior SW Engineering Manager, Data Platform

Role Summary

Candescent is transforming digital banking with a modern, AI-powered platform that empowers financial institutions to deliver smarter, faster, and more personalized customer experiences.

We’re seeking a Senior Data Engineer to join our growing Data Engineering team. This role involves designing, building, and maintaining components across our data stack, which handles approximately a terabyte of data from the personal banking domain. You’ll be instrumental in translating business requirements into scalable, production-ready solutions with minimal oversight.

You’ll work closely with cross-functional stakeholders to ensure solutions align with development standards and industry best practices. The ideal candidate will take full ownership of the development lifecycle, delivering high-performance, reliable systems that meet our uptime and scalability expectations.

Requirements

10+ years of experience in software development.
5+ years of hands-on experience in cloud-based Data Engineering solutions.
Expertise in Python, PySpark, Dataproc, Cloud Functions, and Airflow Composer.
Proficiency with NoSQL databases like BigQuery and Firestore.
Strong grasp of data warehousing and database design principles.
Advanced SQL skills and experience with query optimization.
Proven ability to manage large-scale datasets and build high-performance applications.
Strong collaboration skills and ability to take full ownership of solution design, implementation, and release.
Familiarity with GIT workflows for version control.
Hands-on experience with Google Cloud Platform (GCP) or similar cloud ecosystems.
Experience with Terraform for infrastructure provisioning and management.
Experience with CI/CD pipelines.
Bonus: Exposure to BI tools such as Looker, experience with Bigtable, Redis, Databricks, Java, Kubernetes, and Docker.

Preferred:

Deep understanding of Data Platforms, Data Warehouse-centric, and Lakehouse-centric architectures.
Familiarity with modular and extensible platforms that support dynamic feature invocation.
Background in highly regulated industries, especially financial services or banking.
Passion for security, scalability, and delivering seamless user experiences.

Why Candescent?

Join a fast-growing digital banking SaaS company focused on platform transformation and AI-led innovation.
Shape the future of financial technology by building solutions that matter—for customers and banks
Collaborate with world-class talent across engineering, design, and product.
Hybrid work model

Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.

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Senior Data Engineer

Experience - 10 Years - 13 Years

Location: Hyderabad, India

Reports to: Senior SW Engineering Manager, Data Platform

Role Summary

Candescent is transforming digital banking with a modern, AI-powered platform that empowers financial institutions to deliver smarter, faster, and more personalized customer experiences.

Requirements

10+ years of experience in software development.

5+ years of hands-on experience in cloud-based Data Engineering solutions.

Expertise in Python, PySpark, Dataproc, Cloud Functions, and Airflow Composer.

Proficiency with NoSQL databases like BigQuery and Firestore.

Strong grasp of data warehousing and database design principles.

Advanced SQL skills and experience with query optimization.

Proven ability to manage large-scale datasets and build high-performance applications.

Strong collaboration skills and ability to take full ownership of solution design, implementation, and release.

Familiarity with GIT workflows for version control.

Hands-on experience with Google Cloud Platform (GCP) or similar cloud ecosystems.

Experience with Terraform for infrastructure provisioning and management.

Experience with CI/CD pipelines.

Bonus: Exposure to BI tools such as Looker, experience with Bigtable, Redis, Databricks, Java, Kubernetes, and Docker.

Preferred:

Deep understanding of Data Platforms, Data Warehouse-centric, and Lakehouse-centric architectures.

Familiarity with modular and extensible platforms that support dynamic feature invocation.

Background in highly regulated industries, especially financial services or banking.

Passion for security, scalability, and delivering seamless user experiences.

Why Candescent?

Join a fast-growing digital banking SaaS company focused on platform transformation and AI-led innovation.

Shape the future of financial technology by building solutions that matter—for customers and banks

Collaborate with world-class talent across engineering, design, and product.

Hybrid work model