Chief Data Strategist

19 hours ago

Bareilly, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Data Architect Position

Job Overview
  • We are seeking a seasoned Data Architect to lead the design and development of our data solutions.
  • The ideal candidate will have extensive experience in technical, solutioning, and analytical roles with a proven track record in architecting, designing, and implementing end-to-end data pipelines and data integration solutions.
Key Responsibilities:
  1. Design and develop distributed, high volume multi-thread batch, real-time, and event processing systems.
  2. Implement processes to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  3. Lead multiple data engagements on cloud platforms for data lakes, data engineering, data migration, data warehouse, and business intelligence.
  4. Interface with multiple stakeholders within IT and business to understand the data requirements.
  5. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.
Requirements:
  • 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).
  • Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
  • 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.
  • 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 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.

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