GCP Data Engineer

About the Role

4-10 years of experience in the role of implementation of high end software products.

Responsibilities

• Visualize and evangelize next generation infrastructure in Cloud platform/Big Data space (Batch, Near Real-time, Real-time technologies).
• Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms.
• Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
• Expert-level proficiency in at-least 4-5 GCP services.
• Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities.
• Strong understanding and experience in distributed computing frameworks, particularly.
• Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks.

Required Skills

• Must have: Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer services).
• Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer services).
• Expert-level proficiency in at-least 4-5 GCP services.
• Strong understanding and experience in distributed computing frameworks.
• Experience working within a Linux computing environment.

Preferred Skills

• Should be aware with columnar database e.g parquet, ORC etc.
• Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities.