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5 Parkar Digital Jobs
Site Reliability Engineer
Parkar Digital
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
About Position:
We are looking for a Senior Data Engineer to play a key role in building, optimizing, and maintaining our Azure-based Data Platform, which supports IoT data processing, analytics, and AI/ML applications. As part of our Data Platform Team, you will design and develop scalable data pipelines, implement data governance frameworks, and ensure high-performance data processing to drive digital transformation across our business.
We are looking for a Senior Data Engineer to play a key role in building, optimizing, and maintaining our Azure-based Data Platform, which supports IoT data processing, analytics, and AI/ML applications. As part of our Data Platform Team, you will design and develop scalable data pipelines, implement data governance frameworks, and ensure high-performance data processing to drive digital transformation across our business.
Responsibilities:
- Data Pipeline Development: Design, build, and maintain high-performance, scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and ADLS.
- Data Platform Enhancement: Contribute to the development and optimization of our Azure-based Data Platform, ensuring efficiency, reliability, and security.
- IoT & High-Volume Data Processing: Work with large-scale IoT and operational datasets, optimizing data ingestion, transformation, and storage.
- Data Governance & Quality: Implement data governance best practices, ensuring data integrity, consistency, and compliance.
- Performance Optimization: Improve query performance and storage efficiency for analytics and reporting use cases.
- Collaboration: Work closely with data scientists, architects, and business teams to ensure data availability and usability.
- Innovation & Automation: Identify opportunities for automation and process improvements, leveraging modern tools and technologies.
Requirement:
- 6+ years of experience in data engineering with a focus on Azure cloud technologies.
- Strong expertise in Azure Data Factory, Databricks, ADLS, and Power BI.
- Proficiency in SQL, Python, and Spark for data processing and transformation.
- Experience with IoT data ingestion and processing, handling high-volume, real-time data streams.
- Strong understanding of data modeling, lakehouse architectures, and medallion frameworks.
- Experience in building and optimizing scalable ETL/ELT processes.
- Knowledge of data governance, security, and compliance frameworks.
- Experience with monitoring, logging, and performance tuning of data workflows.
- Strong problem-solving and analytical skills with a platform-first mindset.
Employment Type: Full Time, Permanent
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based on 54 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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