Software Engineer – 8-10 years, Data Warehousing, Cloud Data Platforms, Database

Jobtailor; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Jobtailor in Hyderabad seeks an experienced Data Platform Engineer to design, develop, and maintain scalable data processing platforms across the enterprise. You will lead multiple data pipelines, drive optimization, and partner with analysts, engineers, and stakeholders to realize data-driven decisions.

Responsibilities include ensuring unified data availability, quality, governance, and security, while enabling AI/ML use cases that deliver actionable insights across corporate portals.

Qualifications

• 8-10 years of experience in Data Warehousing (DWH).
• Expertise in cloud data platforms and database technologies.
• Strong experience with ETL tools: Informatica, DBT.
• Proficiency with data quality & observability tools.
• Experience with data streaming technologies: Kafka.
• Hands‑on scripting and programming skills: Unix shell Script, Python, SQL.
• Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
• Knowledge of REST APIs, microservices architecture, and system integration.
• Experience with Docker, Kubernetes, and DevOps practices.
• Bachelor's degree in engineering, Technology, or a related field.

Responsibilities

• Design, develop, and maintain scalable data processing platforms.
• Lead the development and optimization of multiple data pipelines.
• Collaborate closely with data analysts, engineers, and key partners.
• Ensure unified data availability, quality, and accuracy.
• Define and implement AI/ML use cases to deliver actionable insights.
• Empower and support multiple Corporate Functional portals through scalable data analytics platforms.
• Ensure high data quality, consistency, and adherence to governance and security best practices.
• Work cross-functionally with analytics, engineering, and business teams.

Skills

Data Warehousing

Cloud data platforms

ETL tools (Informatica, DBT)

Data quality & observability

Data streaming Kafka

Unix shell scripting

Python

SQL

Git, CI/CD

Agile development

REST APIs & microservices

Docker & Kubernetes

DevOps practices

Education

Bachelor's degree in engineering/technology or related field

Tools

Informatica

DBT

Kafka

Unix shell

Python

SQL

Git

CI/CD

REST APIs

Docker

Kubernetes

Job description

• Design, develop, and maintain scalable data processing platforms
• Lead the development and optimization of multiple data pipelines
• Collaborate closely with data analysts, engineers, and key partners
• Ensure unified data availability, quality, and accuracy
• Define and implement AI/ML use cases to deliver actionable insights
• Empower and support multiple Corporate Functional portals through scalable data analytics platforms
• Ensure high data quality, consistency, and adherence to governance and security best practices
• Work cross-functionally with analytics, engineering, and business teams

Requirements

• 8-10 years of experience in Data Warehousing (DWH)
• Expertise in cloud data platforms and database technologies
• Strong experience with ETL tools: Informatica, DBT
• Proficiency with data quality & observability tools
• Experience with data streaming technologies: Kafka
• Hands‑on scripting and programming skills: Unix shell Script, Python, SQL
• Familiarity with Git, CI/CD pipelines, and Agile development methodologies
• Knowledge of REST APIs, microservices architecture, and system integration
• Experience with Docker, Kubernetes, and DevOps practices
• Bachelor's degree in engineering, Technology, or a related field