The Data Engineer III will design and build ETL pipelines, data lakehouse solutions, and enhance data architecture while ensuring data quality and integrity.
About Radian Generation
Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.
Who We Serve
Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.
Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
ROLE AND RESPONSIBILITIES
- Lead the design and development of ETL pipelines and processes
- Design and implement Data Lakehouse solutions to prepare for business analytics, machine learning, and reporting
- Collaborate with a team of data science and analytics professionals to understand how best to prepare data for further use
- Plan, build, and optimize enhancements to existing data architecture and infrastructure
- Improve data quality and integrity through pressure testing and validation
- Spearhead the development and unification of multiple systems in a microservice-centric architecture
REQUIRED QUALIFICATION & EDUCATION
- University Degree in Computer Science, Data Science, Mathematics or a related field and 6+ years of applicable experience
- Certification in one or more data management technologies or methodologies
REQUIRED SKILLS & COMPETENCIES
- Expertise with both SQL and noSQL database solutions
- Experience working with both structured and unstructured data
- Proficiency with programming languages such as Python or Ruby
- Understanding of data warehousing concepts and tools in AWS or Azure
- Understanding of a data lakehouse architecture, design, and implementation
- Strong problem-solving skills and a passion for high-quality data management
REQUIRED SOFTWARE KNOWLEDGE
- 4+ yrs of SQL experience
- 6+ years of programming experience using either Ruby, Python, or another scripting language
- Experience working within expansive AWS systems involving multiple groups of microservices
- Experience designing and implementing complex data models and hierarchies
PREFERRED EXPERIENCE
- Masters Degree in Computer Science, Data Science, Mathematics or a related field and 4+ years of applicable experience
- Experience unifying systems with similar but distinct approaches to data management
- Prior experience adopting newly acquired data products with related data into an existing data model
PREFERRED SKILLS & COMPETENCIES
- Certification in cloud computing and data management technologies in AWS (Sagemaker, Lambda, RDS, Redshift)
- Prior history working under Agile software development methods and tooling, such as Jira ticketing, Kanban process, etc.
- Proficiency with data visualization or business intelligence tools (DOMO, Tableau, PowerBI)
- Experience working with version control systems such as GIT
Top Skills
AWS
Azure
Domo
Git
NoSQL
Power BI
Python
Ruby
SQL
Tableau
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
