Data Engineer
Practise for the Data Engineer interview at Zelevate, built from the company's own job descriptions.
Covers: Data Engineering, SQL & Databases, Apache Spark & Big Data, Python, System Design, AWS Cloud, Data Structures & Algorithms
fintech · Hsr Layout, Karnataka · zelevate.io
Practise Zelevate's interview See the open jobs
Zelevate, a fintech company based in Hsr Layout, Karnataka, has posted 22 software jobs in the last 24 months, including roles such as Backend Engineer, Data Engineer, and AI ML Engineer. Most jobs require Python, Data Structures & Algorithms, and AWS skills, with experience ranging from 2 to 10 years. Positions are available in Bengaluru, Kochi, Mumbai, and Pune, with a mix of onsite and remote work modes.
Zelevate builds data engineering and machine learning solutions for financial services and enterprise clients, focusing on scalable data platforms, data governance, and AI-driven applications.
Hiring now: 8 open positions.
Designs and develops scalable backend applications and AI-powered workflows using Python, Django, and LLMs on AWS.
Builds and maintains data pipelines in Databricks, ensuring data quality and working with delivery teams to understand requirements.
Designs and implements MDM solutions using Profisee, creating data models and defining integration strategies.
Designs and improves machine learning models, with a focus on deep learning, neural networks and transformer architectures.
Maintains high availability, scalability, and performance across the company's AWS cloud ecosystem by building automated delivery pipelines, implementing monitoring, managing containerized applications, and driving incident response protocols.
Develops iOS applications using Swift, collaborates with stakeholders and design teams, and ensures the reliability and quality of features.
Design and develop scalable backend services using Java and Spring Boot for a new Asset & Wealth Management data platform.
Design and deliver enterprise-scale data platforms and data pipelines for complex banking and card-related data environments.
Design and develop enterprise-grade AI solutions using Generative AI and Agentic AI frameworks on GCP and Azure.
Designs and builds scalable, cloud-native backend systems using Django and FastAPI, while managing a team of engineers.
| Month | New postings |
|---|---|
| December 2025 | 3 |
| January 2026 | 0 |
| February 2026 | 0 |
| March 2026 | 0 |
| April 2026 | 0 |
| May 2026 | 1 |
| June 2026 | 0 |
| July 2026 | 2 |
| August 2026 | 1 |
| September 2026 | 5 |
| October 2026 | 2 |
| November 2026 | 1 |
On-site: 50% · Remote: 36%
From the jobs on Zelevate's own careers site, and how readyforhires members measure up.
Zelevate's engineering interviews likely focus on systems design, data pipeline architecture, cloud infrastructure, and machine learning fundamentals. Candidates are expected to demonstrate strong problem-solving skills, knowledge of distributed systems, and the ability to design scalable and reliable solutions for complex data environments.
Practise for the Data Engineer interview at Zelevate, built from the company's own job descriptions.
Covers: Data Engineering, SQL & Databases, Apache Spark & Big Data, Python, System Design, AWS Cloud, Data Structures & Algorithms
Practise for the Senior Lead Data Engineer interview at Zelevate, built from the company's own job descriptions.
Covers: Data Engineering, SQL & Databases, Apache Spark & Big Data, Python, System Design, AWS Cloud, Data Structures & Algorithms
Practise for the Applied Scientist interview at Zelevate, built from the company's own job descriptions.
Covers: Machine Learning, Deep Learning, Neural Networks, Transformer Architectures, Attention Mechanisms, Embeddings, System Design, Data Structures & Algorithms
Practise for the Site Reliability Engineer (SRE) interview at Zelevate, built from the company's own job descriptions.
Covers: Bash, PowerShell, Python, Docker & Kubernetes, AWS CloudFormation, Terraform, Jenkins, Datadog
Practise for the SE - iOS interview at Zelevate, built from the company's own job descriptions.
Covers: Swift, iOS, REST APIs, Firebase, Git & Version Control
Practice for the Data Engineer – Databricks opening at Zelevate: questions from its job description on PySpark, SQL, Delta Lake, Unity Catalog, and on your CV.
Covers: PySpark, SQL, Delta Lake, Unity Catalog, AWS, Azure, Data Engineer – Databricks fundamentals, Projects on your CV
Practice for the Profisee MDM Architect opening at Zelevate: questions from its job description on Profisee, Data Modeling, Data Quality Rules, Integration Strategy, and on your CV.
Covers: Profisee, Data Modeling, Data Quality Rules, Integration Strategy, Match/Merge, Survivorship, Profisee MDM Architect fundamentals, Projects on your CV
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