Data Engineer

Kumaran; Hyderabad; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Kumaran in Hyderabad is seeking a Data Engineer to design, build, and optimize Azure data pipelines. The role involves delivering secure datasets and contributing to Agile team standards.

The ideal candidate will have 4-6 years of experience in data engineering, particularly with Databricks and Python, along with skills in Azure Data Factory and CI/CD practices. Join Kumaran and be part of innovative solutions in a dynamic team environment.

Qualifications

• 4-6 years of data engineering experience.
• Proficient in Databricks and Python.
• Experience with Azure Data Factory and CI/CD pipelines.

Responsibilities

• Design and optimize Azure data pipelines.
• Ensure secure and reliable datasets.
• Collaborate across teams in an Agile environment.

Skills

Data engineering

Python

Spark

Azure Data Factory

CI/CD

Agile/Scrum

Generative AI

Tools

Databricks

Azure DevOps

Jira

Confluence

Job description

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Job Description

Role Summary

Design, build, and optimize Azure data pipelines and lakehouse solutions. Deliver secure, reliable datasets with strong governance, automation, and documentation. Collaborate across teams and contribute to standards in an Agile setting.

Must-Have (Day 1)

• Experience: 4–6 years in data engineering
• Core Platform: Databricks with Python, Spark, Pandas (notebooks and modular code)
• Orchestration: Azure Data Factory (pipelines, integration runtimes); ingest from diverse sources
• Lakehouse: Delta Lake fundamentals; Medallion architecture (bronze/silver/gold) in production
• DevOps & Security: CI/CD for data projects (Azure DevOps or GitHub Enterprise); familiarity with Azure Entra ID for SSO/RBAC; secure workspace/data access
• Quality & Observability: Data validation/testing, code reviews, and basic monitoring/alerting for jobs/pipelines
• Ways of Working: Agile/Scrum (Jira/Confluence); clear pipeline and data contract documentation
• Collaboration: Effective stakeholder engagement; support/mentor junior team members; clear communication
• Generative AI (Day 1):
  • Prompt design for data tasks (ingestion, transformations, documentation) with clear objectives and constraints
  • Use of Copilot/ChatGPT to scaffold notebooks/jobs, generate tests, and optimize SQL/Spark—validates outputs before merging

Nice-to-Have (Train within 60–90 days)

• Unity Catalog migration (Hive to Unity) and permissions/governance
• Databricks DevOps (cluster configuration, secret management, workspace automation)
• Azure Functions (C# or Python) for orchestration/integration
• Synapse dedicated SQL pools or dbt; Delta Live Tables

Shared Expectations

• Work independently with minimal supervision while contributing to team outcomes
• Commitment to secure practices and production-grade reliability
• Continuous improvement mindset and willingness to learn new tools/technologies
• Willingness to work within regulated environment controls and policies
• Use Generative AI responsibly to improve velocity and quality (simple, structured prompts; guardrails; validate AI-assisted outputs before adoption)

Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.