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Durapid Technologies - Senior Data Engineer - Big Data Technologies

Durapid Technologies Private Limited
Multiple Locations
5 - 7 Years
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4.5white-divider27+ Reviews

Posted on: 30/10/2025

Job Description

Description :

Experience :

- Overall 10+ years of IT experience with 5 to 7 years of hands-on experience in data engineering, demonstrating consistent career progression and technical growth.

- Proven ability to design, develop, and deploy highly scalable and efficient data solutions for complex business needs.

- Extensive experience managing and optimizing complex data integrations across diverse systems, platforms, and cloud environments.

Skills / Knowledge :

- Advanced proficiency in programming languages such as Python, SQL, and Shell Scripting, with the ability to implement optimized and scalable code solutions.

- Deep expertise in data platforms like Snowflake and Databricks, including extensive experience working with PySpark and distributed dataframes to process large-scale datasets.

- Advanced knowledge of orchestration tools such as Azure Data Factory, Apache Airflow, and Databricks workflows, including the ability to design and manage complex, multi-step workflows.

- Significant hands-on experience with tools like DBT for data transformation and replication solutions such as Qlik for efficient data migration and synchronization.

- Strong understanding of big data systems and frameworks, with practical experience in building and optimizing solutions for high-volume and high-velocity data.

- Extensive experience with version control tools such as GitHub or Azure DevOps, including implementing CI/CD pipelines for data engineering workflows.

- Advanced knowledge of serverless computing, including designing and deploying scalable solutions using Azure Functions with Python.

- Proficiency in API development frameworks such as FastAPI, with the ability to create robust, efficient, and secure data-driven APIs.

- Comprehensive expertise in designing and implementing ETL/ELT processes with a focus on performance, scalability, and maintainability.

- Proven experience in data warehouse development, including hands-on expertise with dimensional modeling and schema optimization for analytics.

- Solid English language communication skills, both written and verbal, for effective collaboration across teams and stakeholders.


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