GCP Cloud Data Engineer
2 weeks ago
We are recruiting for a Top Tier ICT organisation.
Note, THIS IS A PERMANENT ROLE ONLY, THE CLIENT IS NOT SPONSORING VISAS
The client is fine with the candidate location being anywhere in the US
Key Pointers that are mandatory
- Python
- SQL
- GCP
Good to Have
- Healthcare Experience
Role and Responsibilities:
· Work closely with application development and data engineers on day-to-day tasks.
· Participate in project planning and implementation.
· Coordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.
· Create and maintain optimal data pipeline architecture.
· Assemble large, complex data sets that meet functional / non-functional business requirements.
· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
· Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other data sources.
· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
· Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
· Improve, optimize and identify opportunities for efficient software development processes.
· Help achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.
Candidate Profile:
Required Qualifications:
· 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform
· GCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok
· 5+ years of hands-on experience of building and operationalizing data processing systems
· Strong Python scripting experience is very important requirement
· 2+ years’ experience in NoSQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka
· 2+ years’ experience working with data platforms (Data warehouse, Data Lake, ODS)
· 2+ years’ experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
· Must have working experience with the clinical data
Preferred Qualifications:
· GCP (google cloud platform) experience
· 3+ years of experience working on healthcare / clinical data
· Data analysis / Data mapping skills
· Python
· Cloud Data flow/Data proc/Function
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