Software Engineer
Published date: 2024/01/10
- Location: Gurugram, Haryana, India
Amantya Technologies is a leading USA-based product engineering and system integration company with operations in the USA and India (Gurugram, Bangalore & Nagpur). A global organization with proven expertise in next-generation technologies like 5G, IoT, AI ML, edge, and cloud services, Amantya works with some of the world’s best brands, including Fortune 500 companies. The company specializes in building 5G-based solutions for its customers across Radio Access Network (RAN), Core, Management, and Orchestration. It creates better business outcomes and helps its clientele stay competitive by leveraging solution accelerators, partner solutions, and deep domain expertise in wireless protocols, integration, testing, and hardware design and development. The company’s services portfolio includes telecom, automobile, retail, healthcare verticals, and multiplying.
Company URL: https://amantyatech.com/
Office Tour: https://youtu.be/r9InciPW_X0
Experience :4+Years
Location: Gurgaon (WFO)
Responsibilities
• Create and maintain optimal data pipeline architecture
• Design and develop Data Warehouse solutions
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
• optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
• variety of data sources using cloud-based technologies.
• Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).
• Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,
• operational efficiency and other key metrics.
• Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assist
• with data-related technical issues and support their data needs.
• Keep data separated and secure · Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.
• Work with data and analytics experts to strive for greater functionality in our data systems
Qualifications
• Bachelor's degree or equivalent experience in Computer Science or related field
• Development experience with programming languages
• SQL database or relational database skills
Key Skills: Azure Data Factory, Pyspark, T/SQL, PL/SQL, Exposure on other ETL Tools like SSIS, Databricks
Data Engineering
Company URL: https://amantyatech.com/
Office Tour: https://youtu.be/r9InciPW_X0
Experience :4+Years
Location: Gurgaon (WFO)
Responsibilities
• Create and maintain optimal data pipeline architecture
• Design and develop Data Warehouse solutions
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
• optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
• variety of data sources using cloud-based technologies.
• Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).
• Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,
• operational efficiency and other key metrics.
• Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assist
• with data-related technical issues and support their data needs.
• Keep data separated and secure · Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.
• Work with data and analytics experts to strive for greater functionality in our data systems
Qualifications
• Bachelor's degree or equivalent experience in Computer Science or related field
• Development experience with programming languages
• SQL database or relational database skills
Key Skills: Azure Data Factory, Pyspark, T/SQL, PL/SQL, Exposure on other ETL Tools like SSIS, Databricks
Data Engineering
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