Senior software engineer

1 month ago


Delhi, India Mphasis Full time
Minimum 7 yrs with Data engineering
Mandatory Skills:
AWS Services ( S3, Lambda, Glue, Step function, Redshift), Python
Data Pipeline Development:
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.
Qualification : Any Graduation
Work Location : Bangalore/Mumbai/Hyderabad/Chennai
Who are we?
Mphasis is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain and process expertise. Over the years we have left an indelible impression in the IT solutions domain with an impressive clientele and an extensive global presence. The accolades we have been garnering can be attributed to our undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of our esteemed customers. Our integrated solutions offering is aimed at creating value for our customers, helping them in improving their business processes with minimum hassles and capital outlays.

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