Description

Lead data engagements on GCP Cloud, covering data lakes, engineering, migration, warehousing, and BI.

Responsibilities

• Design distributed, high-volume batch, real-time, and event processing systems.
• Translate business requirements into functional and non-functional specifications for availability, scalability, and security.
• Implement data validation processes to monitor quality and ensure accuracy for stakeholders.
• Collaborate with Pre-Sales teams to create technical data solutions for RFPs and RFIs.
• Mentor junior talent and develop internal assets and accelerators.

Required Skills

• 10-15 years overall experience, with 8+ years in technical, solutioning, and analytical roles.
• 5+ years building and managing Data Lakes, Data Warehouses, and Integration solutions on GCP, AWS, or Azure.
• Architect end-to-end data pipelines for structured and unstructured data sources.
• Deep knowledge of Cloud and On-Premise databases: Oracle, Teradata, MySQL, DB2, SQL Server.
• Proficiency with Spark, PySpark, Scala, Dataflow, Dataproc, or EMR.
• Experience with Hadoop, S3, Cloud Storage, Glue, Hive, Kafka, or Airflow.
• Proven ability to manage on-premise to cloud migration projects.
• Strong understanding of Cloud security features and policies across GCP, AWS, or Azure.
• Ability to compare products and tools across different technology stacks.

Preferred Skills

• Experience with Machine Learning frameworks such as TensorFlow or PyTorch.
• Knowledge of BI reporting and dashboarding tools like Looker, Tableau, or Power BI.

Key Skills

Education

ANY GRADUATE