Senior software engineer

2 months ago

Delhi, India Mphasis Full time
Job Summary:
We are seeking a highly skilled and experienced Data engineering with Tableau skills
Key Responsibilities:
Minimum 7 yrs with Data engineering with Tableau skills
Mandatory Skills:
AWS- AWS (S3, Lambda, Glue, Step function, Redshift), Python & Tableau.
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.
Tableau
Experience in creating architectural diagram flow.
Expertise in resolving security level checks.
Advanced skills in creating and optimizing dashboards, calculating fields, parameters, and filters.
Data Visualization and Dashboard Development
Design, develop, and maintain Tableau dashboards and reports to provide actionable insights.
Translate business requirements into technical specifications and create impactful visualizations.
Ensure dashboard performance, scalability, and usability while adhering to best practices in Tableau.
Data Engineering and ETL
Develop, test, and deploy ETL processes to transform raw data into a usable format for visualization.
Implement data pipeline processes using tools such as AWS Glue, Lambda, and Data Pipeline.
Perform data extraction, transformation, and loading from various data sources into data warehouses like Redshift.
Data Modeling and Integration
Create and optimize data models for Tableau dashboards, ensuring they align with business requirements.
Integrate and manage data from multiple sources, including structured and unstructured data.
Implement data transformation workflows and schema mapping to support reporting needs.
Database and Cloud Management
Manage and maintain data stored on AWS S3 and Redshift for easy access and analysis.
Ensure data governance, accuracy, and availability in cloud-based data storage.
Collaborate with data architects and infrastructure teams to improve data infrastructure.
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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