Chief Data Infrastructure Specialist

1 week ago


Alwar, Rajasthan, India beBeeDataEngineer Full time ₹ 17,00,000 - ₹ 23,40,000
Cloud Data Engineer

We are seeking a Cloud Data Engineer to lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.

  • 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 MongoDB, CouchDB, Cassandra, Graph dB, etc.
  • Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
  • 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.
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.
  • Mentor young talent within the team, define and track their growth parameters.
Requirements:
  • 8+ 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 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.
  • Strong communication and articulation skills.
  • Good leadership skills.
  • Should be a good team player.
  • Good analytical and problem-solving skills.


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