Cloud Data Engineer

Responsibilities

• Develop data-driven solutions with Cloud based technologies to meet evolving business needs.
• Deliver impactful, scalable, and highly performant Data solution to our customers based in US, UK, Canada and India based customers.
• Provide technical design and develop Extract/Transform/Load (ETL), ELT applications that interface with Datametica’s customer applications.
• Lead and implement data driven solutions and collaborate with larger development teams.
• Lead and Develop Test Strategy, Test Plan, Test Cases to test the cloud based solutions.

Requirements

• Approx 8+ years of experience with a proven experience in data platform and big data engineering.
• Quickly learning skills to adapt GCP cloud native SQL (Bigquery).
• Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.).
• Willingness to continuously learn & share learnings with others.
• Capability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible for.
• Ability to work in a fast-paced, rapidly changing environment.
• Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery).
• Experience working in an agile and collaborative team environment.
• Excellent written and verbal communication, presentation and professional speaking skills.
• Proven problem-solving skills and attention to detail with a commitment to excellence and high standards.

Qualifications

• Bachelor's Degree or equivalent experience required.

Skills

• Hands-on Experience in SQL is mandatory.
• Experience in using a Jupyter notebook is a plus.
• Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.).

Benefits

Up to 10% travel expectation.

Pay

N/A

Schedule

N/A

Benefits

N/A