<p><p><b>Role :</b> Technical Architect Data.<br/><br/><b>Work location :</b> Mumbai, Bangalore, Trivandrum (Hybrid).<br/><br/><b>Notice Period :</b> Any.<br/><br/><b>Role & Responsibilities :</b></p><p><p><b><br/></b></p>- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data </p><p>Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure).<br/><br/></p><p>- 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.<br/><br/></p><p>- Experience in architecting, designing, and implementing end to end data pipelines and data integration </p><p>solutions for varied structured and unstructured data sources and targets.<br/><br/></p><p>- Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.<br/><br/></p><p>- Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc.
on various Cloud.<br/><br/></p><p>- Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.<br/><br/></p><p>- 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.<br/><br/></p><p>- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.<br/><br/></p><p>- Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.<br/><br/></p><p>- Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.</p><p><br/></p><p>- Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.<br/><br/></p><p>- Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.<br/><br/></p><p>- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.<br/><br/></p><p>- Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.<br/><br/></p><p>- Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.<br/><br/></p><p>- Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.<br/><br/><b>Role :</b></p><p><p><b><br/></b></p>- Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.<br/><br/></p><p>- Interface with multiple stakeholders within IT and business to understand the data requirements.<br/><br/></p><p>- Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.<br/><br/></p><p>- Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.<br/><br/></p><p>- 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.<br/><br/></p><p>- Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.<br/><br/></p><p>- Mentor Young Talent within the Team, Define and track their growth parameters.<br/><br/></p><p>- Contribute to building Assets and Accelerators.<br/><br/><b>Other Skills :</b></p><p><p><b><br/></b></p>- Strong Communication and Articulation Skills.<br/><br/></p><p>- Good Leadership Skills.<br/><br/></p><p>- Should be a good team player.<br/><br/></p><p>- Good Analytical and Problem-solving skills.</p><br/></p> (ref:hirist.tech)