Data Engineer - Operating Data Automation
Data Engineer - Operating Data Automation
Posted on :
11-04-2025
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1 Vacancy
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Job Description
About the Position: As a Data Engineer you will play a key role in supporting the and reporting of energy storage asset performance. Fluence is seeking engineers for a high1value project to automate the timeseries operating data collected from utilityscale battery energy storage systems. The ideal candidate would: This is a great opportunity to grow your skills in cloudbased data infrastructure using AWS services while contributing to meaningful projects that help optimize the operation data management across a fleet of energy storage systems.
Role & Responsibilities
1. Data Infrastructure & Transformation: Design maintain and optimize data infrastructure for data collection management transformation and access focusing on scalability reliability and costeffectiveness. Continue to be handson with data integration engineering tasks including data pipeline development ELT processes data integration and be the goto expert for complex technical challenges. Implement and manage cloud infrastructure and automated workflows using AWS services (e.g. AWS Step Functions BatchGlue AthenaLambda EC2 Event bridge ECS Redshift) while optimizing existing orchestration solutions. Monitor PostgreSQL performance and conduct troubleshooting to identify and resolve issues with database queries performance bottlenecks and availability. Use Python and AWS cloud services to automate data retrieval and processing tasks.
2. Process Improvement and Efficiency Identify opportunities for process improvement in data workflows with a focus on automation and scalability. Build and manage data warehouses data lakes and other data storage solutions to support largescale data operations and analytics. Document technical architectures best practices and operational procedures for orchestration workflows and automated infrastructure. Demonstrate a willingness to develop problemsolving skills by participating in root cause analysis gap analysis and performance evaluations. Exhibit strong time management skills and attention to detail with the ability to manage multiple tasks and priorities in a dynamic environment. Show eagerness to learn and apply new data analysis techniques tools and methodologies. Ability to thrive in a fastpaced evolving work environment while taking on new challenges.
3. Collaboration & Support: Work closely with other team members to support ongoing data extraction and data pipeline needs. Contribute to internal projects by documenting data workflows and helping with adhoc data pull requests.
Preferred Skills & Qualifications:
Education: Bachelors degree in Computer Science Engineering Data Science or a related field (or equivalent work experience).
Experience: 5 years of relevant experience as a data engineer or in a similar role preferably with exposure to largescale systems and energyrelated data.
Technical Skills: o Programming: Python Jupyter Notebooks o Databases: Strong experience with relational databases (MySQL MariaDB PostgreSQL) o Cloud Services: AWS S3 AWS Glue AWS Batch o Operating Systems: Linux (Proficiency with Linuxbased environments) o Version Control & Collaboration: Agile methodologies Atlassian JiraGitHub
Additional Skills: o Familiarity with Salesforce Asset Integration. o Proficiency in Microsoft Office (Excel PowerPoint etc..
Employment Type
Full-Time
Key Skills
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