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Job Description & How to Apply Below
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Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Py Spark
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. Attention to data quality and the implementation of extract, transform, and load processes are central to daily activities, enabling smooth data flow and accessibility for organizational needs.
Collaboration with different teams to support data infrastructure and optimize performance is also a key part of the daily routine.
Roles & Responsibilities :
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
Monitor and troubleshoot data pipelines to ensure reliability and efficiency.
Document data processes and workflows to maintain clarity and support knowledge sharing.
Assist junior team members by providing guidance and support in their tasks.
Professional & Technical
Skills:
Must To Have
Skills:
Proficiency in PySpark.
Experience in building and optimizing data pipelines using distributed computing frameworks.
Strong knowledge of data processing concepts including batch and real-time data handling.
Familiarity with data storage solutions and data modeling techniques.
Ability to write efficient, maintainable code for data transformation and integration.
Understanding of performance tuning and debugging in large-scale data environments.
Additional Information:
The candidate should have minimum 3 years of experience in PySpark.
This position is based at our Indore office.
A 15 years full time education is required.
, 15 years full time education
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