Senior Data Engineer
- Intelex Technologies
- 8 - 13 years
- Hubli
- 11 months ago
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Job Description
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 high-quality data for analytics and AI-driven solutions. The ideal candidate will have deep expertise in data modeling, cloud-based data platforms, and best practices in data engineering.
Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines for large-scale industrial data.
- Architect and maintain data warehouses, lakes, and streaming solutions to support analytics and AI-driven 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 real-time and batch processing .
- Leverage cloud-based 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 cross-functional 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. ).
- Hands-on 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 cloud-native data solutions.
- Knowledge of CI/CD pipelines, DevOps, and infrastructure as code (Terraform, Kubernetes, Docker) .
- Familiarity with ML Ops and AI-driven data workflows is a plus.
- Strong problem-solving 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 open-source data engineering projects .
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Intelex TechnologiesLocation(s): Hubli+ View Contact
Keyskills: Condition monitoring Automation GCP MySQL Healthcare Product design Open source Analytics SQL Python
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Intelex Technologies
Trusted Since 1992, Intelex Technologies, ULC. is a global leader in the development and support of software solutionsfor Environment, Health, Safety and Quality (EHSQ) programs. Our scalable, web-based software provides clients withunprecedented flexibil
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