On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Amazon Web Services (AWS)
Linux
SQL
Data Warehousing
Data Engineering
Representational State Transfer (REST)
Amazon S3
Extract, Transform, Load (ETL)
Apache Spark
Data Modeling
About the Role
Mandatory Technical Skills
• 6+ years of experience in Software development.
• 4+ years of hands-on experience with MS Dynamics 365 CRM Development using C#.
• Experience with building, managing, and automated deployments of Dynamics customisations.
• Experience with managing, deploying, and integrating C# services within Dynamics (Workflows/PowerAutomate and Azure Functions).
• Experience with unit testing.
Roles and Responsibilities
• Design and implement data acquisition processes from internal and external sources, managing data types across the lifecycle (raw, curated, lake) for effective integration.
• Develop and optimize advanced SQL queries.
• Use Linux command-line tools to automate data processing workflows and manage pipelines.
• Ensure data protection and privacy compliance (e.g., GDPR) by implementing secure data handling practices.
• Maintain clear documentation of designs and workflows with tools like Confluence and Visio for stakeholder understanding.
• Work with RESTful APIs and AWS services (S3, Glue, Lambda) to enable seamless data integration and automation, handling various data formats like CSV and Parquet.
• 6+ years of experience in Software development.
• 4+ years of hands-on experience with MS Dynamics 365 CRM Development using C#.
• Experience with building, managing, and automated deployments of Dynamics customisations.
• Experience with managing, deploying, and integrating C# services within Dynamics (Workflows/PowerAutomate and Azure Functions).
• Experience with unit testing.
Roles and Responsibilities
• Design and implement data acquisition processes from internal and external sources, managing data types across the lifecycle (raw, curated, lake) for effective integration.
• Develop and optimize advanced SQL queries.
• Use Linux command-line tools to automate data processing workflows and manage pipelines.
• Ensure data protection and privacy compliance (e.g., GDPR) by implementing secure data handling practices.
• Maintain clear documentation of designs and workflows with tools like Confluence and Visio for stakeholder understanding.
• Work with RESTful APIs and AWS services (S3, Glue, Lambda) to enable seamless data integration and automation, handling various data formats like CSV and Parquet.