GCP Data Engineer

Job TitleGCP Data EngineerLocationRemote, USSalary$75-85k plus bonus plus benefitsJob DescriptionThe Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. You will collaborate with other Architects and Engineers to enable enterprise applications to meet the organizations business goals.ResponsibilitiesRole 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.QualificationsRequired Qualifications:5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platformGCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok5+ years of hands-on experience of building and operationalizing data processing systemsStrong Python scripting experience is very important requirement2+ years' experience in NoSQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka2+ 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 dataGCP (google cloud platform) experience3+ years of experience working on healthcare / clinical dataPreferred Qualifications:Data analysis / Data mapping skillsPythonCloud Data flow/Data proc/FunctionWhistle map SDKGoogle Health care API/ FHIR storeWhat We OfferEXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growthAnalytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.