Summary
✨ AI‑Generated
Join a technology-focused engineering team building and maintaining a data services platform that handles large-scale market datasets. You will own ETL/ELT workflows end to end, integrate external data sources, validate and publish information, and develop backend services and frontend interfaces for configuring, monitoring, and exploring data. The position offers broad exposure across the data lifecycle and the opportunity to work on systems supporting complex energy-sector analytics and operations.
Highlights
Hands-on ownership across the full data lifecycle, from connecting to external sources through transformation, validation, and publication. The role combines data engineering with backend and frontend development and contributes to software supporting large-scale energy-market data workflows.
Description
Join Acelerex and contribute to sustainable energy solutions!
Acelerex is a consulting and software company in the electrical sector.
We are a leading provider of cutting-edge technologies and solutions in Analytics, Data Services, and SCADA/EMS, revolutionizing the energy market worldwide.
We’re looking for a Data Services Software Engineer to assist with development and maintenance of our Data Services platform — the layer that ingests, validates, and serves the large market data sets behind our Analytics and SCADA/EMS products.
This is a hands-on role across the full data lifecycle.
You will own ETL pipelines end to end — from source connection through transformation, validation, and publication — and also build the backend services and frontend interfaces our engineers, analysts, and clients use to configure, monitor, and explore that data.
Job Responsibilities
· Design, build, and maintain ETL/ELT pipelines that ingest data from ISO/RTO market feeds, weather services, and other data into the Data Services platform.
· Implement validation, cleansing, gap-filling, and reconciliation logic so downstream analytics run on trustworthy time-series data, and build the monitoring and alerting that surfaces pipeline failures and data quality issues before users notice them.
· Develop backend services and REST APIs that expose curated datasets to the Analytics platform, dashboards, and client integrations, including scheduling and orchestration of recurring data jobs.
· Build and maintain the frontend of the Data Services platform — data catalogs, pipeline status dashboards, time-series charts, and configuration screens — coordinating frontend and backend data contracts and looking after the application’s security practices.
· Model and evolve database schemas for large time-series and reference datasets, and tune queries, indexing, and storage so the platform performs at scale.
· Document data sources, transformations, and lineage, and work with analysts and engineers to onboard new data feeds quickly and repeatably.
· Leveraging AI for efficiency and automation of the tasks
Requirements:
· Qualifications: Minimum Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related field
· Experience: Minimum 2 years in programming, whether that’s in data engineering, web development, or data science
· Profile: We're looking for a resilient and proactive person, ready to develop and experiment quickly, who brings fresh ideas and follows good development practices.
Required skills:
· Proficiency in Python, plus working knowledge of JavaScript/TypeScript.
· Experience in a modern frontend framework (Vue.js, React, or similar).
· Strong SQL, with practical experience in PostgreSQL or another relational database.
· Hands-on experience building or maintaining ETL/ELT data pipelines and working with structured data at scale.
· Experience with a backend web framework and REST API design.
· Capacity to communicate in English comfortably.
Valued skills:
· Curiosity and interest in learning about ETL processes
· Familiarity with time-series data handling
· Understanding of electrical engineering concepts: Ohm’s law, Power Flow, LMPs, or Energy Markets.
· Experience using a backend web framework.
· Experience with charting or data visualization libraries.
Location and Start Date:
The position will be based in the Acelerex office in Vadodara, India.
Immediate availability is preferred.
Benefits:
· Competitive compensation
· Professional growth opportunities in an international company
· Collaborative and innovative work environment
· Exposure to analytics and data projects in the renewables and energy sector
Please see www.acelerex.com to learn more about Acelerex.
