Quantiphi - Data Engineering - ETL

Responsibilities : - More than 15 years of experience in Technical, Solutioning, and Analytical roles. - 5 years of experience in building and managing Data Lakes, Data Warehouses, Data Integration, Data Migration, and Busines Intelligence/Artificial Intelligence solutions in the Cloud (GCP/AWS/Azure) - Ability to understand business requirements, translate them into functional and non-functional areas, and 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 in 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 the cloud on Big Query or Redshift. - 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. - 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 Reposting and Dashboarding and one or more toolsets 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 the movement of On-Premise data solutions to Clouds like : - 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, and 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, and 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 Skills : - Strong Communication and Articulation Skills. - Good Leadership Skills. - Should be a good team player. - Good Analytical and Problem-solving skills (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 4/16/2025