FW: Urgent hiring : Data Engineer

Hi,

We have an exciting job opportunity for you, please find below the JD.

Data Engineer –

Location: Waukegan IL
Duration: 1 Year

Qualifications

Bachelor’s degree in relevant field and at least 4 years relevant experience OR Masters degree in relevant field and at least 2 years’ experience.
Hands-on experience with big data tools: Hadoop, Spark, Scala, HDFS – EMR, Cloudera etc
Hands-on experience with AWS cloud services as a platform and as an infrastructure
Working experience on any of the reporting tools such as Power BI, Qlik, etc
Implementation experience of DevOps CICD automations, Docker, Kubernetes is preferred
Good communication and interpersonal skills, with proven ability to build trust.
Interest in technology trends and application of technology to improve end user’s experience
Ability to understand the broad objectives of a project as well as his/her role in achieving those objectives and modify approach when required. Escalates open issues to management to ensure execution success and keeps stakeholders informed through effective verbal and written communication.
Learn, understand and master new methods and technologies, and act as a resource or mentor for others.
Partner with vendors and provide input into overall project time and cost estimates.
Produces and maintains required technical documentation associated with work product.
Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, SOX compliance, data security, and the software development lifecycle.

Preferred:

Description:

Reporting to the Lead Technical Architect for our Commercial Data Lake for Finance (CDL-F), the Engineer will be responsible for the technical development of data, analytics, and GenAI solutions in support of the US Therapeutics Finance business unit.
They will assist in the architecture, design, build, and testing of these applications, ensuring that these fit-for-purpose solutions meet current and future business needs.
The Engineer will also troubleshoot system issues including the performance of root cause analysis and recommendations for remediating these issues.

Responsibilities

Independently design and develop data, software, or technology solutions to answer business questions. Demonstrate proficiency across a range of technologies related to programming languages, data integration, data warehousing, and data visualization and analysis.
Play a key role in creating 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 & elasticity etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL/NoSQL and AWS ‘big data’ technologies.
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 Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Continuously seek to improve existing methods and processes.

Thanks and Regards

Nagender Rawat

Sr. Technical Recruiter | Evolve ESolutions LLC

EMAIL: rawat@evolveesolutions.com

WEB: www.evolveesolutions.com

LinkedIn: https://www.linkedin.com/in/nagenderrawat/
Org LinkedIn: https://www.linkedin.com/company/evolveesolutions

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