Data Engineer

Job description

LI-Hybrid

As a Data Engineer

ü Analyze and organize raw data

ü Build data systems and pipelines

ü Evaluate business needs and objectives

ü Interpret trends and patterns

ü Conduct complex data analysis and report on results

ü Prepare data for prescriptive and predictive modeling

ü Build algorithms and prototypes

ü Combine raw information from different sources

ü Explore ways to enhance data quality and reliability

ü Identify opportunities for data acquisition

ü Develop analytical tools and programs

ü Collaborate with data scientists, business analysts, and architects on several projects

ü Gains exposure to some of the complex tasks within the job function.

ü Is occasionally directed in several aspects of the work.

ü Understanding and familiarization of key business processes, tools and metrics

ü Ability to facilitate meetings and gather requirements from stakeholders

ü Ability to define, analyze, validate and prioritize requests based on business value.

ü Effectively and proactively communicates with stakeholders, team-members and other support teams to promote synergy

ü Perform timely ad-hoc supports requests in support of business needs, escalations and/or process improvement initiatives

ü Manage end-to-end project requests completion in a timely manner

ü Create detailed process-flow and or documentations for all requests/projects handled

ü Identify and drive internal needs for improvements with the way we deliver our projects and the way we work

ü Perform other related projects and duties as assigned

Desired profile

Qualifications :

Qualifications

· Bachelor’s degree in related field.

· At least 3-5 years experience previous experience as a data engineer or in a similar role

· Technical expertise with data models, data mining, and segmentation techniques

· Knowledge of programming languages (e.g. Java and Python)

· Advanced Hands-on experience with SQL database design

· Great numerical and analytical skills

· Degree in Computer Science, IT, or similar field; a Master’s is a plus

· Data engineering certification (e.g IBM Certified Data Engineer) is a plus

· Experience/Knowledge in using Salesforce, Sap, Oracle, Genesys is a plus

· Ability to perform analysis, formulated conclusions and recommend actions.

· Excellent verbal and written communication skills. Fluency in English required.

· Ability to communicate and work with cross-functional teams and cross-country stakeholders is a must.

· Strong organizational skills

· Experience with project management is a plus

· Highly motivated and eager to learn new applications and/or tools

· Displays a positive and team first attitude

· Continuously seeks ways to enhance contribution to those they support

· Supports hybrid work model. Work at Home and Work at On-Site.

· Must be able to juggle many multiple projects simultaneously.