Sr Data Ops Developer

Grow; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health and Wellness

Internal Mobility

Career Development

Education Support

Inclusive Workplace

Work-Life Balance

Global Mobility

Job summary

Epicor is seeking a data engineering professional in Bengaluru to design, implement, and maintain cloud-based data pipelines, enabling scalable analytics and data-driven decision making. You will collaborate with data engineers and stakeholders to translate requirements into reliable platforms using Azure services.

You will influence data architecture, ingestion, and storage strategies, ensuring data quality and security while evolving our data platform to meet business needs globally.

Qualifications

• 3+ years’ experience in data engineering or related field.
• Strong SQL skills and data platform experience.
• Ability to explain technical concepts to both technical and non-technical audiences.

Responsibilities

• Design, implement, and maintain cloud-based data pipelines.
• Collaborate with data engineers and stakeholders to translate requirements into scalable architectures.
• Evaluate cloud infrastructure and services for scalability, performance, cost, and security.
• Implement data ingestion pipelines and ensure data quality, timeliness, and integrity.
• Design and optimize data storage solutions (data lakes, data warehouses, data marts).
• Implement data processing workflows using Azure Spark, Azure SQL Pools or equivalent services.

Skills

SQL

Data pipelines

Data platforms

Data warehouses

Data lakes

Requirements gathering

Stakeholder communication

Analytical thinking

Verbal communication

Tools

Azure

Terraform

Bicep

ARM templates

CI/CD

Git

Python

Job description

What you will be doing:

• Perform all duties and maintain all standards in accordance with company policies, procedures, and internal controls such as SOX.
• Design, implement, and maintain cloud-based data pipelines to enable efficient storage, processing, and analysis of large volumes of data.
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.
• Evaluate and select appropriate cloud infrastructure and services to support data storage, processing, and analytics needs, considering factors such as scalability, performance, extendibility, cost, and security.
• Implement data ingestion pipelines, integrating various, disparate data sources and ensuring data quality, integrity, and timeliness.
• Design and optimize data storage solutions, including data lakes, data warehouses, and data marts, to support different types of data processing and analysis.
• Implement data processing and transformation workflows using technologies such as Azure Spark, Azure SQL Pools / data warehouses or other cloud-native data processing services.

What you will likely bring:

• 3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
• Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
• Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
• Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
• Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.

What could set you apart:

• Cloud & DevOps: Hands-on Azure development beyond data pipelines, including infrastructure-as-code (e.g., Bicep, Terraform, or ARM) and DevOps practices such as CI/CD, Git-based source control workflows, and automated deployment of data assets.
• AI-assisted development: Practical experience using AI coding assistants (e.g., ChatGPT, GitHub Copilot/Codex) to accelerate development, testing, and code review within a disciplined, version-controlled workflow.
• Applied AI / GenAI: Exposure to building AI-driven solutions — retrieval-augmented generation (RAG), agentic workflows, vector databases, and orchestration frameworks such as LangChain or LangGraph.
• Lightweight application development: Ability to stand up simple internal applications or APIs (e.g., Python, FastAPI) to surface data and tooling to end users.

About Epicor

At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We’re Proactive, Proud, Partners

Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

• Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
• Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
• Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
• Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
• Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
• Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
• Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you— that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.

We are an equal-opportunity employer.