1 Avro Jobs nearby Kochi

Role Overview: As a candidate for this position, you will be responsible for integrating various ERP endpoints and transactional/NoSQL database systems. Your role will involve ensuring data synchronization is maintained within the accepted SLA and TAT. You will closely collaborate with the Product Manager and Engineering Manager to support product and tech enablement. Additionally, you will be creating, executing, monitoring, and maintaining interfaces that support multi-tenancy mode while also performing daily monitoring of applications running on production. Your tasks will include working on new development based on product specifications. Key Responsibilities: - Integrate various ERP endpoints and transactional/NoSQL database systems - Ensure data synchronization within accepted SLA and TAT - Collaborate with Product Manager and Engineering Manager for product and tech enablement - Create, execute, monitor, and maintain interfaces supporting multi-tenancy mode - Daily monitoring of applications running on production - Work on new development as per product specifications Qualifications Required: - 6 to 12 years of overall experience - Strong experience with open-source data ingestion tools like Apache Nifi - Familiarity with various transport, communication, and transformation protocols including REST, JDBC, ODBC, JMS, and SOAP - Experience in creating integration flows to read data from multiple sources and establish a workflow for data movement - Prior experience integrating ERP systems, SQL/NoSQL databases, S3/Azure Blob Storage, SQS/RabbitMQ, and SNS/Kafka - Knowledge of various file and transformation formats such as CSV, XML, Avro, Parquet, XLS, XLSX, and XSLT - Proficiency in programming in Java or any other equivalent programming language - Understanding of data integration standards and patterns - Ability to stay up-to-date on new technologies, releases, and trends,

As an experienced professional with a strong understanding of Actimize data models, UDT structures, RCM/ActOne configurations, and integration with internal systems and downstream channels, you will play a crucial role in the following key responsibilities: - **AIS Workflow Design:** - Design, configure, and maintain AIS Execution Workflows using UDTs, rules, Java plugins, and transformation logic. - Collaborate closely with analysts and business teams to comprehend detection logic and model outputs. - **ActOne Case Management:** - Configure case structures, workflows, and routing rules within ActOne. - Map alerts and events to appropriate case types based on business rules. - Design and optimize case lifecycle stages, alerts triage processes, and review flows. - **UI Widgets & UX Support:** - Build and customize widgets in ActOne UI (e.g., dashboards, tab layouts, investigator tools). - Integrate widgets with backend services for seamless data display and interactivity. - Provide support for user experience enhancements for investigators and QA reviewers. - **Database & Integration Support:** - Understand Actimize internal data models (RCM/AIS) and support database updates or queries. - Collaborate with DBAs and data engineers to manage UDT schema updates and alert backfills. - Work with developers to integrate external systems via APIs, Kafka, or custom solutions. In addition to the above responsibilities, you should possess the following skills and qualifications: - 3-6 years of hands-on experience with NICE Actimize platform (AIS, RCM, ActOne). - Proficiency in AIS Execution Workflow modeling, UDT creation, and plugin integration. - Experience with ActOne case configuration, workflow definition, and lifecycle management. - Working knowledge of SQL and experience updating or querying Actimize databases. - Familiarity with Java, XSLT, and Avro/JSON data formats for integration work.,

As a Data Engineer at UST, your role involves designing, building, and maintaining data pipelines and data models to support analytical and business intelligence needs. You will need hands-on experience with Python or SQL, Google Cloud Platform (GCP), and a strong understanding of data management, quality, and security best practices. **Key Responsibilities:** - Build and maintain moderately complex data pipelines to ensure data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Apply knowledge of data characteristics and supply patterns to develop rules and tracking processes that support data quality models. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Perform design, creation, and interpretation of large and highly complex datasets. - Troubleshoot pipeline and data issues to ensure accuracy and reliability. - Stay up-to-date with GCP advancements and recommend innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Develop and execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. **Mandatory Skills:** - Python or SQL Proficiency: Experience with Python or SQL and intermediate scripting for data manipulation and processing. - GCP & Cloud Fundamentals: Intermediate understanding and experience with Google Cloud Platform (GCP) and overall cloud computing concepts. - Data Pipeline Construction: Proven ability to build, maintain, and troubleshoot moderately complex pipelines. - Data Modeling & Optimization: Experience designing and optimizing data models for performance. - Data Quality Governance: Ability to develop rules, tracking processes, and checks to support a data quality model. - Data Preparation & Structuring: Skilled in integrating, consolidating, cleansing, and structuring data for analytical use. - Security Implementation: Knowledge of security best practices in pipelines and cloud infrastructure. - Big Data Analysis Tools: Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark. - Advanced Data Formats: Experience working with JSON, AVRO, and PARQUET formats. - Communication & Best Practices: Strong communication skills to promote global best practices and guide adoption. **Preferred Qualifications:** - Cloud certification (e.g., GCP Data Engineer, AWS, Azure). - Experience with credit data products. - Familiarity with data governance frameworks and metadata management tools. **About UST:** UST is a global digital transformation solutions provider that partners with clients to embed innovation and agility into their organizations. With over 30,000 employees in 30 countries, UST aims to make a real impact through transformation, touching billions of lives in the process.,