About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and maintain data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Minimum 5 to 8 years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma. Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 + years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

Maintaining physical and digital personnel records like employment contracts and PTO requests Update internal databases with new hire information Create and distribute guidelines and FAQ documents about company policies Gather payroll data like bank accounts and working days Publish and remove job ads Schedule job interviews and contact candidates as needed Prepare reports and presentations on HR-related metrics like total number of hires by department Develop training and onboarding material Respond to employees questions about benefits (for example, number of vacation days they re eligible for) Requirements Work experience as an HR Admin experience, HR Administrative Assistant or similar role. Freshers can also apply Familiarity with Human Resources Information Systems (HRIS) Basic knowledge of labor legislation Experience using MS Office, especially Excel, word and PowerPoint Organizational skills *Good verbal and written communication skills Any graduate in any field People and customer centric Ability to multi task Ready to accept challenges and deliver

1. Conduct Administrative duties, including filing, Corresponding with Faculty and students, responding to emails and preparing documents, addressing grievances 2. Coordinate project deliverables and monitor the production staff 3. Perform accounting tasks, including invoicing and budget tracking 4. Schedule meetings and travel arrangements for Faculty members of the company 5. Provide administrative support for operations team 6. Forming and maintaining employee records 7. Updating databases internally 8. Preparing and amending where necessary HR documents 9. Reviewing and renewing company policies and legal compliance 10. Communicating with external partners 11. Being the first point of contact for employees on any HR related queries Requirements Qualifications Skills 1. Bachelor s degree preferred Any Graduate 2. 2+ years experience working in an office setting 3. Excellent written and verbal communication skills 4. Ability to multi-task and prioritize projects 5. Service oriented 6. Able to complete complex administrative tasks with minimal supervision 7. Driving business with innovation and automation

1. Regularly produce various content types, including email, social media posts, blogs and white papers 2. Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our sites 3. Actively manage and promote our blog, and pitch articles to relevant third-party platforms 4. Edit content produced by other members of the team 5. Analyse content marketing metrics and make changes as needed 6. Collaborate with other departments to create innovative content ideas. Requirements Qualification Skills 1. Any Graduate freshers 2. Excellent written communication skills 3. Should have good Proofreading and editing abilities 4. Research Proficiency 5. Should have the ability to adapt the culture of the organisation and sufficient knowledge of the target readers. 6. Should have a good knowledge of social media and SEO 7. Should have a good personality depicting integrity, perseverance and adaptability.

Oracle EBS SCM Functional consultant with 6 -10 years of experience Minimum 6-10 years experience implementing and supporting Oracle SCM Good understanding of latest industry trends in supply chain and manufacturing related business processes and practices. Domain experience of managing the Supply chain function of a large organization would be an added advantage. Responsibilities will include handling client user day today issues triaging and co-ordination with the offshore team. Should have hands on experience in Oracle PO, OM, Inventory and Discrete manufacturing . Will be responsible for providing subject matter expertise during the user day to day issues handling. Will continuously evaluate the market opportunities in the realm of Oracle SCM applications. Expected to coordinate with people working in different time zone Candidate with good English (Written + Verbal) communication skills, team player, ready to travel / relocate available at short notice Excellent communication skills, expected to work/manage multiple stakeholders simultaneously

Designation Associate / Sr. Associate Overall Purpose : Within agreed limits or the authority levels defined by the client for WNS, process transactions accurately, filing shareholder documents, communicate as and when required via emails, and ensuring at all times that the process is carried out efficiently within the approved guidelines and agreed timeframes. Responsible for managing and maintaining shareholder documentation and records, ensuring accuracy and compliance across various systems. This role involves processing subscription packs, updating shareholder information, and handling documentation related to share allotments and transactions. Principal accountabilities: Process Proactive management of Shareholder emails, accurately filing the share holder documents. Manage and update shareholder information. Prepare subscription packs for share classes by creating letters using Word and Mail-Merge, converting them to PDFs. Email subscription packs to shareholders via their corporate email addresses, timely and accurately. Chase and Clear outstanding pending shareholder payments. Add digital signatures and dates to subscription documents once they are returned by shareholders. Save completed documents to the appropriate shareholder folders. Save relevant signed documents related to Shareholder transactions into the appropriate shareholders folders. Ensure that all subsidiary share registers are updated and reconciled with both Excel files and PDF versions. Perform address and share comparison reconciliations among different application reports, ensuring consistency and accuracy across reports. Prepare and email side letters to shareholders via mail merge, ensuring all documentation is accurate and appropriately distributed. Should be able to work in a team to achieve Team Goals. To take process related initiatives. E.g. Preparing internal reports/MI To generate Process Improvement ideas People: Actively participate in team activities and initiatives to encourage a collaborative team approach. Adhere to the WNS & values. Actively support the Leader, assisting team members through technical skills. Key Skills: Excellent comprehension skills Flexibility with shifts Good touch typing speed Customer focus Ability to work with speed & accuracy under pressure Effective decision making skills Prioritizing & organizing Email writing skills Good written communication skills Ability to sustain pressure Company Secretarial domain knowledge would be an added advantage Experience: Experience in working for Secretarial Practice Role would be an added advantage. Experience of working for a corporate environment within the financial services or insurance sector. Experience of working within a client facing environment An understanding of company objectives and how own role contributes to these Awareness of regulatory environment and requirements including FCA rules, data protection, money laundering etc. Qualifications Qualifications: Graduate (any stream) Prior exposure in corporate services roles, preference for Company Secretarial background but not mandatory. Profile:

This job is an opportunity to make a difference and shape lives! Collaboration. Choice. Integrity. Resilience. Continuous improvement. These are our values that we hold as an organisation. Aligned with yours? Then keep reading… We are seeking a Forensic Mental Health Practitioner to provide assessments and 1:1 psychologically informed intervention within our Integrated Offender Management (IOM) mental health service. This role is based across 4 North London locations – Camden, Islington Ealing and Hounslow. Integrated Offender Management (IOM) is the national multi-agency arrangement that manages the most persistent, repeat offenders. In London the recently revised London IOM framework focuses partner agencies on repeat offenders who also pose at least a medium risk of violent reoffending. The aim of this framework is to improve the consistency and effectiveness of this work to reduce the number of victims in London, especially those of serious acquisitive and violent crime. You will be part of a dedicated and dynamic team with a specific focus on delivering tailored support to individuals managed under the IOM scheme. Application Deadline June 14, 2025 Department Operations Employment Type Fixed Term Contract Location Integrated Offender Management (IOM) Workplace type Onsite Compensation £37,814 / year Reporting To Danielle Green Functional Responsibilities As a Successful Candidate You Will Be Able To: Assess mental health and social care needs and provide a bespoke holistic support package. Empower people to lead on their support plan Provide low-intensity support interventions of psycho-education and using different techniques, for example Motivational Interviewing, Cognitive Behavioural Therapy and Compassion Focused Therapy Contribute to the prevention and management of harmful and violent behaviour and help people to build self-esteem and increase motivation Enable people to discover and access appropriate services and facilities as well as support people to navigate and access services available to them as part of the bespoke care plan Assist people whose care is being transferred between services/agencies. Dynamically assess and manage risk, sharing need to know information with the relevant agencies Deliver externally validated evidence-based programmes designed to reduce the likelihood of re-offending by people who pose a significant risk of harm Complete reports for courts, formal hearings and other meetings as required. Report back on outcomes, directly to referrers and/or via clinical and multidisciplinary group meetings Record keep, evidence work done and ensure data is entered promptly and effectively on to relevant data management systems Work with integrity within the evidence-based service model, adhere to the model and thereby ensuring consistency and quality of service provision Maintain regular communication and updates with the wider team via phone, text and emails Develop and sustain effective working relationships with staff in other agencies Contribute to the development and promotion of Together and the service by attending relevant forums. Developing a significant understanding of Together and its value system to ensure that you are able to present Together in a positive light Advise statutory agencies about the needs of service users in the relevant geographical area(s) and identify gaps in the service Research, prepare and supply information to monitor the effectiveness of the service and produce statistical data as required Facilitate learning in groups through presentations and activities both within Together and external agencies Behaviours Models the highest levels of the Together Values commitment and its associated behaviours, to provide a clear example for all colleagues. Ensures that Service User Leadership is at the heart of everything we do. Embedding the service user leadership framework within policy, strategy and process. Essential: Knowledge, Skills & Experience A minimum of 2 years’ experience as a Mental Health practitioner A qualification in Mental health (e.g. mental health nurse, clinical/ forensic psychology, psychotherapy) or degree relevant to the area of work or equivalent experience e.g., forensic psychologist trainee working toward their stage 2 qualification Experience of delivering low-intensity support interventions of psycho-education Experience of using psychometric tools (e.g. CORE-10) A sound knowledge of assessment of an vulnerable adults with mental health and social care needs Experience of delivering low intensity psychological interventions to adults who have traits or diagnosis indicative of personality disorder Experience of working with a high risk client group presenting violent or challenging behaviour as well as experience of safeguarding Experience of working in a community or outreach setting with offenders in relation to supporting their health, emotional and social needs Experience of engaging adults with complex needs in the community to address their presenting needs Good understanding of agencies working within the following sectors; criminal justice, secure estate, social care, housing, health and voluntary sector and the relevant referral processes Experience of developing safety and crisis plans Ability and a willingness to take appropriate evidence-based decisions about adult offenders in complex cases and an ability to work independently A commitment to valuing diversity and implementing equal opportunities and anti-discriminatory practice Experience of working in a multi-racial community and/or knowledge of race equality issues and an understanding of, and commitment to, equalities & diversities and a proven ability to translate equality principles into service delivery Desirable Registration with the Health Care Professional Council (HCPC) – desired Experience of designing and delivering training (desirable) Benefits The benefits of working for Together Download the PDF to find out more about what you can get out of working for us. Benefits of Working for Together About Together For Mental Wellbeing Together for Mental Wellbeing is a national charity that supports people with mental health issues to lead fulfilling and independent lives. We value people as experts in what works best for them, and each individual we work with influences and shapes the support they and others receive from us. Founded in 1879, today we work with approximately 4,500 people every month - at around 70 locations across England. Our services include support in the community, accommodation-based support, advocacy, and criminal justice services. Apply Now Our Hiring Process Stage 3: Interview Stage 4: Hired Stage 1: Applied Stage 2: Review Stage 4: Hired Not quite right? Register your interest to be notified of any roles that come along that meet your criteria. Register Your Interest Show more Show less

The Odoo Functional Consultant will act as the bridge between business stakeholders and the technical development team, gathering requirements, analyzing business processes, and configuring Odoo modules to meet client needs. The ideal candidate possesses deep functional knowledge of Odoo ERP, strong analytical skills, and experience in customizing business workflows to align with industry best practices. Key Responsibilities: Requirement Gathering & Analysis: - Collaborate with clients and internal teams to understand business processes, challenges, and goals. - Translate business requirements into detailed functional specifications for Odoo implementation. Odoo Implementation & Configuration: - Configure Odoo modules such as Sales, Purchase, Inventory, Manufacturing, Accounting, CRM, HR, and others based on client needs. - Customize workflows and business logic without extensive coding, using Odoo s built-in configuration options. Solution Design & Validation: - Design solutions aligned with client objectives and industry standards. - Create process flow diagrams, user stories, and functional documentation. - Conduct user acceptance testing (UAT) and ensure client sign-off. Training & Support: - Provide training sessions and documentation to client teams for smooth transition and adoption. - Offer post-implementation support and troubleshooting to ensure system stability and performance. - Continuous Improvement: Stay updated on Odoo releases and new functionalities. - Recommend enhancements and best practices to clients for process optimization. Required Skills and Qualifications: - Proven experience as an Odoo Functional Consultant or ERP Functional Consultant (minimum 3 years preferred). - Strong understanding of core Odoo modules and their business applications. - Experience in industries such as manufacturing, retail, healthcare, finance, or e-commerce is a plus. - Excellent communication skills for interacting with clients and technical teams. - Ability to map complex business processes and identify improvement opportunities. - Familiarity with basic technical concepts such as Odoo workflows, data models, and API integration is advantageous. - Ability to create clear, comprehensive documentation and training materials. - Strong problem-solving skills and attention to detail. Preferred Qualifications: - Bachelor s degree in Business Administration, Computer Science, or related field. - Odoo Functional Certification or equivalent. - Experience with custom module development coordination alongside developers. - Knowledge of accounting standards and compliance is a plus. - Experience working in agile project environments.

Strong communication, negotiation and interpersonal skills. Self motivated and driven. Team Player. Good Time Management Skills. BBA/BBM/MBA/BA/MA degree [Fresher to 12 months in sales experience]can apply. Apply Below: Full Name Permanent Address Present Address Education Qualifications Skills & Expertise Career Goals Training Certificates Languages Known Allowed files are pdf, doc, docx. Max 2MB Applying for Which Location Any Prior Experience in Biometrics Field Any Prior Experience in Other Security Systems

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description Summary: The CDR Analyst plays a crucial role in our Cyber Incident Response team, responsible for analysing review protocols, applying protocol rules and guidelines, coding various types of documents, and extracting data from complex files. Proficiency in Microsoft Excel, including advanced features like macros, is essential for success in this role. The CDR Analyst will work with various document formats such as PDF, TXT, PNG, DAT, and more. Attention to detail and data accuracy are paramount in delivering top-quality service to our clients. Job Responsibilities: Analyze review protocols and understand the rules and guidelines specified. Code a wide range of documents in accordance with the established protocols. Extract data from complex files, ensuring precision and completeness. Utilize Microsoft Excel extensively, including the use of macros and advanced features. Work with various document formats, including but not limited to PDF, TXT, PNG, DAT, etc. Collaborate with the Cyber Incident Response team to enhance data analysis and breach response efforts. Maintain a high level of accuracy and quality in all data-related tasks. Perform data manipulation and analysis to support incident response activities. Contribute to the continuous improvement of data analysis processes. Assist in the development and implementation of data-related strategies. Stay updated on industry trends and best practices in data analysis and response. Education & Qualification: Graduates or Post-graduates degree with a minimum of 2+ years of experience in Microsoft Excel, including advanced functionalities. Strong data analysis and data manipulation skills are essential. Preferred experience in Cyber Incident Response, Data Breach, or document review. Proficiency in Microsoft Excel, including pivot tables, macros, text functions, lookups, and complex formulas. Familiarity with review platforms like Relativity and Canopy is a plus. Exceptional analytical and problem-solving abilities with acute attention to detail. Capability to work independently and collaboratively in a fast-paced production environment. Excellent verbal and written communication skills, including proficiency in English. Ability to meet tight deadlines, manage multiple tasks, and uphold high-quality standards. This position offers an exciting opportunity to contribute to our rapidly growing Cyber Incident Response business while leveraging advanced data analysis skills to provide exceptional service to our clients. #LI_Remote #LS. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

V2 Retail Ltd. is one of India s fastest-growing retail companies, delivering world-class fashion through quality in-house brands. With a strong presence across 112 cities and over 150 stores, we are committed to making fashion accessible and affordable to all. Job Summary: We are looking for a responsible and experienced Site Supervisor to oversee day-to-day activities at our retail or construction sites. You ll ensure operations are safe, efficient, and meet company standards while leading your team toward successful execution. Key Responsibilities: Supervise daily site operations to ensure timely and quality execution. Manage and guide team members to complete tasks effectively. Ensure all safety and quality standards are maintained. Monitor and manage inventory and site materials. Keep the site clean, organized, and safe. Coordinate with management and report on progress or challenges. Handle minor electrical supervision and site store materials (as needed). Provide support to customers if assigned to a retail site. Requirements: Previous experience in site supervision, construction, or retail is preferred. Strong leadership and communication skills. Good understanding of safety protocols. Physically fit to manage on-site responsibilities. Minimum education: High school diploma (Diploma/Degree in Apply for this position Referred By (Name) Referred By (Emp Code) Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

We seek a proactive and experienced professional to join our Bangalore team as a Executive / Senior Executive Operations (Air & Ocean). The ideal candidate should possess a strong understanding of both Air and Ocean freight operations. A detail-oriented approach, strong coordination skills, and the ability to work in a fast-paced logistics environment are essential. Apply for this Positon Job Category: Air Freight Job Type: Full Time Job Location: Bangalore Manage end-to-end operational activities for both Air and Ocean shipments. Prepare and process AWB, MAWB, and HAWB for air shipments. Submit Airline Shipping Instructions (ASI) and prepare Gate Passes for air cargo. Prepare and submit the Final Handover Set for air exports, including E-AWB documentation. Draft and process BL, MBL and HBL for ocean shipments. Coordinate with customers, customs brokers to ensure smooth clearance for both air and ocean shipments. Liaise with airlines and shipping lines for bookings, carting arrangements, and schedule management. Prepare and verify shipment invoices, ensuring accuracy and timely submission. Maintain detailed records and documentation in compliance with international trade laws and regulations. Monitor shipment movements, provide timely updates, and proactively resolve any issues or delays. Ensure daily operational efficiency and coordination across departments and external stakeholders. DG (Dangerous Goods) certification is an added advantage for handling hazardous materials in air freight.

Qualification : Degree in Science / Engineering Freshers to Two years of experience Skillset : .Net MVC, ASP.Net, C#, MS-SQL Server, HTML,CSS, BootStrap IoT Developer : 1 Position Qualification : Degree in Science with Physics/Electronics, Maths Or Engineering (ECE/CSC) Freshers to Two years of experience Skillset : C, Prototype development using Arduino, Electronic Circuits, knowledge in IoT platforms (Azure / Arduino Cloud IoT)

Job Category: Job Type: Job Location: Experience Level: We are seeking an experienced Angular Developer with a strong background in building modern, dynamic web applications using Angular 4+ . The ideal candidate will have hands-on experience in Angular development, solid proficiency in front-end technologies, and a passion for creating high-quality, scalable, and efficient web applications. Key Responsibilities: Develop, test, and deploy dynamic web applications using Angular 4+ and related technologies (HTML, CSS, JavaScript/TypeScript). Collaborate with UX/UI designers to ensure the technical feasibility of designs. Write clean, maintainable, and efficient code while adhering to best practices and coding standards. Integrate with back-end services using RESTful APIs and WebSockets . Perform unit testing and integration testing to ensure the quality and reliability of the applications. Optimize application performance for maximum speed and scalability. Troubleshoot, debug, and resolve issues in the application code. Stay current with industry trends, emerging technologies, and best practices in Angular development. Participate in code reviews, mentor junior developers, and promote high-quality coding standards. Work closely with cross-functional teams including back-end developers, product managers, and UX/UI designers. Contribute to the design and architecture of scalable and maintainable solutions. Skills & Qualifications: Must have proven experience with Angular 4+ (Angular 2 and above). Strong proficiency in Angular , HTML5 , CSS3 , and JavaScript/TypeScript . Experience with state management libraries like NgRx or Redux . In-depth knowledge of RxJS and reactive programming concepts. Familiarity with RESTful APIs , GraphQL , and WebSockets integration. Experience with version control systems, preferably Git . Hands-on experience with front-end build tools like Webpack , npm , or Yarn . Familiarity with unit testing frameworks (Jasmine, Karma) and end-to-end testing (e.g., Protractor). Understanding of front-end performance optimization . Strong problem-solving skills and the ability to work independently and as part of a team. Good communication skills and the ability to collaborate effectively with others. Experience with Agile/Scrum methodologies is a plus. Notice Period: Below 30 days Work location: Chennai Work from office) Previous Post Backend Developer Industries Solutions

The Platform Support & Quality Assurance Specialist will be responsible for ensuring seamless platform operations, proactive issue resolution, data reconciliation, and documentation management. The role requires a strong analytical mindset, excellent coordination skills, and a keen eye for process improvement. Job Details Location, Department Unit and Reporting Location: Noida Department: IT-ITeS Sector Skills Council Nasscom Reporting To: Platform Lead Basic Functions/ Job Responsibility 1. First Level Support for Platform Issues Address platform-related queries and resolve minor tickets efficiently. Collaborate with relevant teams to address major issues requiring technical fixes. 2. Support Governance for Platform Issues Monitor weekly ticket closures across L1 and L3 teams. Identify delays and escalate concerns to the internal support team. 3. Quality Assurance Conduct daily platform monitoring to detect performance issues, user flow inefficiencies, UI/UX improvements, and potential bugs proactively. 4. Data Sanity & Reconciliation Perform fortnightly/monthly reconciliation of assessment data between various systems. Verify data consistency to ensure learners meeting the criteria have appropriate records in place. Conduct data reconciliation between multiple stakeholders. 5. Documentation & Compliance Create, maintain, and version-control all related documents (DDD, Workflows, BRD/PRD, etc.). Secure necessary approvals for document finalization. 6. Course & Content Partner Onboarding Conduct regular meetings with technology partner to oversee integration and configuration timelines. Facilitate coordination among stakeholders to mitigate delays. Guide teams to ensure timely completion of relevant steps. Knowledge, Skills, Qualifications, Experience Organizational Values: Our organization is committed to fostering excellence, collaboration, and innovation. The Platform Support & Quality Assurance Specialist will be expected to embody these values: Integrity & Accountability: Uphold transparency in all processes while taking ownership of tasks. Customer-Centric Approach: Prioritize user experience and satisfaction while addressing platform concerns. Continuous Improvement: Proactively identify inefficiencies and suggest improvements for optimal performance. Collaboration & Teamwork: Foster strong cross-functional relationships to drive seamless operations. Innovation & Adaptability: Embrace emerging technologies and adapt to evolving business needs. Required Skills & Qualifications: Bachelors/master s degree in computer science, IT, or a relevant field. Strong understanding of platform operations and support systems. Experience with data reconciliation and documentation management. Excellent problem-solving and communication skills. Ability to coordinate with multiple stakeholders effectively. Preferred Qualifications: Prior experience working in platform governance or quality assurance roles. Knowledge of UI/UX best practices and issue detection methodologies.

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description Summary: The CDR Analyst plays a crucial role in our Cyber Incident Response team, responsible for analysing review protocols, applying protocol rules and guidelines, coding various types of documents, and extracting data from complex files. Proficiency in Microsoft Excel, including advanced features like macros, is essential for success in this role. The CDR Analyst will work with various document formats such as PDF, TXT, PNG, DAT, and more. Attention to detail and data accuracy are paramount in delivering top-quality service to our clients. Job Responsibilities: Analyze review protocols and understand the rules and guidelines specified. Code a wide range of documents in accordance with the established protocols. Extract data from complex files, ensuring precision and completeness. Utilize Microsoft Excel extensively, including the use of macros and advanced features. Work with various document formats, including but not limited to PDF, TXT, PNG, DAT, etc. Collaborate with the Cyber Incident Response team to enhance data analysis and breach response efforts. Maintain a high level of accuracy and quality in all data-related tasks. Perform data manipulation and analysis to support incident response activities. Contribute to the continuous improvement of data analysis processes. Assist in the development and implementation of data-related strategies. Stay updated on industry trends and best practices in data analysis and response. Education & Qualification: Graduates or Post-graduates degree with a minimum of 2+ years of experience in Microsoft Excel, including advanced functionalities. Strong data analysis and data manipulation skills are essential. Preferred experience in Cyber Incident Response, Data Breach, or document review. Proficiency in Microsoft Excel, including pivot tables, macros, text functions, lookups, and complex formulas. Familiarity with review platforms like Relativity and Canopy is a plus. Exceptional analytical and problem-solving abilities with acute attention to detail. Capability to work independently and collaboratively in a fast-paced production environment. Excellent verbal and written communication skills, including proficiency in English. Ability to meet tight deadlines, manage multiple tasks, and uphold high-quality standards. This position offers an exciting opportunity to contribute to our rapidly growing Cyber Incident Response business while leveraging advanced data analysis skills to provide exceptional service to our clients. #LI_Remote #LS. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

SeerTech Systems - Blend of Technology and Talent MERN Stack Developer SeerTech Systems MERN Stack Developer Location: Bangalore (Hybrid/On-site) Employment Type: Contract (6 Months 1 Year, Extendable) About the Role We re seeking a talented MERN Stack Developer to join our team in building cutting-edge ERP and accounting solutions for enterprise clients. You ll design, develop, and optimize modules like invoicing, ledger management, payroll, inventory, and financial reporting ensuring scalability, performance, and seamless integration. Key Responsibilities Develop and customize ERP/accounting modules using the MERN stack (MongoDB, Express.js, React.js, Node.js). Architect and implement financial workflows (e.g., GL, AP/AR, tax calculations) with clean, modular code. Integrate third-party APIs for payment gateways, compliance, or reporting tools. Collaborate with cross-functional teams to translate business logic into technical solutions. Optimize applications for performance, security, and scalability . Follow Agile methodologies and maintain version control (Git). Must-Have Skills 3+ years of hands-on experience with MERN stack development. Proven expertise in ERP, accounting software, or fintech solutions . Strong understanding of financial business logic (e.g., double-entry bookkeeping, invoicing, payroll). Proficiency in RESTful APIs, JWT, and state management (Redux/Context API). Experience with database design (MongoDB, SQL is a plus). Familiarity with Agile/Scrum workflows and Git. Nice-to-Have Skills Knowledge of TypeScript, Next.js, or NestJS . Experience with cloud platforms (AWS/Azure/GCP) and DevOps (Docker, CI/CD). Exposure to BI/reporting tools (Power BI, Tableau) or tax/compliance systems (GST, VAT). Prior work in microservices architecture . Why Join Us? Impactful Work: Build solutions used by real businesses daily. Collaborative Environment: Work with a team of passionate engineers and domain experts. Growth Potential: Contract extension or full-time conversion based on performance. Competitive Compensation: Attractive pay and flexible hybrid work options. Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Technical Support (L1) Job Category: Job Type: Job Location: Experience Level: Job Summary We are seeking a proactive L1 Support Engineer with a strong foundation in Java , JavaScript , and MySQL to join our technical support team. The ideal candidate will be responsible for managing support tickets, troubleshooting application issues, resolving client queries, and ensuring timely and effective communication. This role requires strong problem-solving abilities, technical curiosity, and a client-focused mindset. Key Responsibilities Ticket Management : Monitor, log, and respond to incoming support tickets. Ensure timely resolution or escalation, as appropriate. Application Troubleshooting : Diagnose and resolve issues related to both front-end and back-end components of Java or JavaScript-based applications. Client Interaction : Communicate effectively with clients to gather issue details, provide updates, and deliver clear, timely solutions. SQL Query Handling : Execute and troubleshoot basic MySQL queries to retrieve, insert, or update data. Address issues such as missing or incorrect records. API Support : Understand RESTful API workflows and assist in identifying issues with API requests and responses. Database Troubleshooting : Identify and resolve problems related to slow queries or incorrect data. Provide support for indexing and basic performance optimization in MySQL. Error Diagnosis : Utilize browser developer tools and server logs to identify JavaScript or application-level errors. Application Support Experience : Provide end-to-end support across various applications, ensuring system stability and functionality. Client Coordination : Serve as a liaison between clients and internal technical teams, ensuring smooth communication throughout the ticket lifecycle. Required Skills and Qualifications Minimum 2 years of experience in L1 support or similar technical support roles. Strong understanding of Java fundamentals , including variables, data types, loops, conditionals, exception handling, and OOP principles. Basic to intermediate knowledge of JavaScript , covering functions, loops, variables, and DOM manipulation. Proficiency in MySQL , with the ability to write and debug basic queries and recognize common database issues. Basic debugging skills , including interpreting stack traces and resolving Java/JavaScript errors. Familiarity with Java frameworks such as Spring or Hibernate (basic understanding is sufficient). Excellent communication skills , both written and verbal, for clear and professional client interactions. Strong customer service orientation with the ability to manage expectations and deliver efficient support. Notice Period: Less than 30 days Previous Post Business Analyst Industries Solutions