Data Engineering Leader
2 weeks ago
About the Role:
This is an exciting opportunity for a talented Data Engineer to join our team at Mphasis. As a senior member of our engineering team, you will be responsible for leading the development and implementation of large-scale data processing systems. You will work closely with our data scientists to design and implement scalable data pipelines that meet the needs of our customers.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines to ingest and transform data from multiple sources using AWS services like S3, Glue, and Redshift.
- Implement best practices for ETL/ELT processes, optimizing performance, reliability, and data quality.
Data Management & Storage:
- Manage data storage and retrieval strategies using Amazon S3 for structured and unstructured data.
- Leverage Redshift for data warehousing needs, performing database operations to support analytics and reporting.
Data Transformation & Processing:
- Use AWS Glue to develop and orchestrate data transformation processes, ensuring data is clean, consistent, and optimized for analysis.
- Write Python scripts for data manipulation, transformation, and integration, handling data from various sources and in different formats.
Data Quality & Monitoring:
- Implement monitoring and alerting mechanisms for data pipelines and ensure high data integrity and performance.
- Conduct data quality checks, validations, and troubleshooting to resolve any data-related issues.
Requirements:
- Minimum 7 years of experience in data engineering.
- Strong background in AWS services, including S3, Lambda, Glue, Step Function, and Redshift.
- Excellent knowledge of Python programming language.
- Experience with data pipeline development and ETL/ELT processes.
Bonus & Benefits:
- Salary: ₹1,200,000 - ₹2,400,000 per annum (based on location and experience).
- Performance-based bonus structure.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
Work Location:
Bangalore/Mumbai/Hyderabad/Chennai
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