Note: The job is a remote job and is open to candidates in USA. EXL is an analytics and consulting company that provides data-driven business solutions. The GCP Data Engineer will build and operate scalable cloud data environments, develop data pipelines and analytics tools, and collaborate with technical and business stakeholders to support enterprise and clinical data needs.
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
Skills
- 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
- 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
- Whistle map SDK
- Google Health care API/ FHIR store
Benefits
- Bonus
- An exciting, fast paced and innovative environment
- Opportunity to work closely with highly experienced, world class analytics consultants
- Training in all aspects of analytics as well as in leading analytical tools and techniques
- Guidance/coaching through a mentoring program wherein every junior level employee is assigned a senior level professional as advisors
- Further growth and development in the company and beyond
Company Overview
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