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
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.
Schedule: Full-time
Req: 008S0S #J-18808-Ljbffr
