Principal Architect (Data and Cloud) - Neoware Technology Solutions Private Limited Principal Architect (Data and Cloud) Requirements More than 10 years of experience in Technical, Solutioning, and Analytical roles. 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure). Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud. Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc. Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc. Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift. Experience in having worked on one or more data integration, storage, and data pipeline tool sets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc. Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design. Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud. Good understanding of BI Reporting and Dashboarding and one or more tool sets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc. Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure. Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure. Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges. Be a thought leader in architecture design and development of cloud data analytics solutions. Liaison with internal and external stakeholders to design optimized data analytics solutions. Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers. Support Sales and GTM teams from a technical perspective in building proposals and SOWs. Lead discovery and design workshops with potential customers across the globe. Design and deliver thought leadership webinars and tech talks alongside customers and partners. Responsibilities Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. Interface with multiple stakeholders within IT and business to understand the data requirements. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction. Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems. Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data. Mentor young Talent within the Team, Define and track their growth parameters. Contribute to building Assets and Accelerators.

Data Engineer (Azure) - Neoware Technology Solutions Private Limited Data Engineer (Azure) Requirements 4 - 10 years of hands-on experience in designing, developing and implementing data engineering solutions. Strong SQL development skills, including performance tuning and query optimization. Good understanding of data concepts. Proficiency in Python and a solid understanding of programming concepts. Hands-on experience with PySpark or Spark Scala for building data pipelines. Ensure data consistency and address ambiguities or inconsistencies across datasets. Understanding of streaming data pipelines for near real-time analytics. Experience with Azure services including Data Factory, Functions, Databricks, Synapse Analytics, Event Hub, Stream Analytics and Data Lake Storage. Familiarity with at least one NoSQL database. Knowledge of modern data architecture patterns and industry trends in data engineering. Understanding of data governance concepts for data platforms and analytical solutions. Experience with Git for managing version control for source code. Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solutions. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Responsibilities Azure Certifications related to Data Engineering are highly preferred. Experience with Azure Kubernetes Service (AKS), Container Apps and API Management. Strong understanding and experience with BI/visualization tools like Power BI. Chennai, Bangalore Full time 4+ years Other positions Chennai / Bangalore / Mumbai 3+ years Principal Architect (Data and Cloud) Development

Data Engineer (AWS) - Neoware Technology Solutions Private Limited Data Engineer (AWS) Requirements 4 - 10 years of hands-on experience in designing, developing and implementing data engineering solutions. Strong SQL development skills, including performance tuning and query optimization. Good understanding of data concepts. Proficiency in Python and a solid understanding of programming concepts. Hands-on experience with PySpark or Spark Scala for building data pipelines. Understanding of streaming data pipelines for near real-time analytics. Experience with Azure services including Data Factory, Functions, Databricks, Synapse Analytics, Event Hub, Stream Analytics and Data Lake Storage. Familiarity with at least one NoSQL database. Knowledge of modern data architecture patterns and industry trends in data engineering. Understanding of data governance concepts for data platforms and analytical solutions. Experience with Git for managing version control for source code. Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solutions. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Responsibilities Azure Certifications related to Data Engineering are highly preferred. Experience with Amazon AppFlow, EKS, API Gateway, NoSQL database services. Strong understanding and experience with BI/visualization tools like Power BI. Chennai, Bangalore Full time 4+ years Other positions Principal Architect (Data and Cloud) Development