Senior Data Engineer
Senior Data Engineer
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Job Description
About Qualitrol
Qualitrol is a leader in providing condition monitoring solutions for the electricity industry ensuring reliability and efficiency in highvoltage electrical assets. We leverage cuttingedge technology data analytics and AI to transform how utilities manage their assets and make datadriven decisions.
Role Summary
We are looking for a highly skilled Senior Data Engineer to join our team and drive the development of our data engineering capabilities. This role involves designing developing and maintaining scalable data pipelines optimizing data infrastructure and ensuring highquality data for analytics and AIdriven solutions. The ideal candidate will have deep expertise in data modeling cloudbased data platforms and best practices in data engineering.
Key Responsibilities
- Design develop and optimize scalable ETL/ELT pipelines for largescale industrial data.
- Architect and maintain data warehouses lakes and streaming solutions to support analytics and AIdriven insights.
- Implement data governance security and quality best practices to ensure data integrity and compliance.
- Work closely with Data Scientists AI Engineers and Software Developers to build robust data solutions.
- Optimize data infrastructure performance for realtime and batch processing.
- Leverage cloudbased technologies AWS Azure GCP to develop and deploy scalable data solutions.
- Develop and maintain APIs and data access layers for seamless integration across platforms.
- Collaborate with crossfunctional teams to define and implement data strategy and architecture.
- Stay up to date with emerging data engineering technologies and best practices.
Required Qualifications & Experience
- 5 years of experience in data engineering software development or related fields.
- Proficiency in programming languages such as Python Scala or Java.
- Expertise in SQL and database technologies PostgreSQL MySQL NoSQL etc..
- Handson experience with big data technologies (e.g. Spark Kafka Hadoop).
- Strong understanding of data warehousing (e.g. Snowflake Redshift BigQuery) and data lake architectures.
- Experience with cloud platforms (AWS Azure or GCP) and cloudnative data solutions.
- Knowledge of CI/CD pipelines DevOps and infrastructure as code (Terraform Kubernetes Docker).
- Familiarity with ML Ops and AIdriven data workflows is a plus.
- Strong problemsolving skills ability to work independently and excellent communication skills.
Preferred Qualifications
- Experience in the electricity utilities or industrial sectors.
- Knowledge of IoT data ingestion and edge computing.
- Familiarity with GraphQL and RESTful API development.
- Experience in data visualization and business intelligence tools (Power BI Tableau etc..
- Contributions to opensource data engineering projects.
What We Offer
- Competitive salary and performancebased incentives.
- Comprehensive benefits package including health dental and retirement plans.
- Opportunities for career growth and professional development.
- A dynamic work environment focused on innovation and cuttingedge technology.
- Hybrid/remote work flexibility (depending on location and project needs).
How to Apply
Interested candidates should submit their resume and a cover letter detailing their experience and qualifications.
Required Experience:
Senior IC
Employment Type
Full-Time
