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    Architect - Data Engineer - Mumbai, India - Quantiphi

    Quantiphi
    Quantiphi Mumbai, India

    3 days ago

    Default job background
    Technology / Internet
    Description

    Role: Technical Architect - Data

    Experience Level: 10 to 15 Years

    Work location: Mumbai, Bangalore, Trivandrum (Hybrid)

    Notice Period: Any

    Role & Responsibilities:

    • More than 8 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 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 movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.

    Role:

    • 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.

    Other Skills:

    • Strong Communication and Articulation Skills.
    • Good Leadership Skills.
    • Should be a good team player.
    • Good Analytical and Problem-solving skills.
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