Data Engineer

Job Posting

Proven experience as a Data Engineer, Computer Science, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field. Industry experience is preferred

In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework

Experience in programming languages such as Python, R, Scala, Java will be added advantage

Experience with Visualization skills/tools (e.g. Microsoft Power BI, Qliksense, Tableau)

Experience with GCP (BigQuery, Data Prep, Data Fusion)

Knowledge of SAS, SQL queries, Alteryx

Proven abilities to take initiative and be innovative approaches

Strong oral, written and interpersonal communication skills

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Analytical mind with a problem-solving aptitude

Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets to create and implementing data driven strategies that fuel growth including cost saving, revenue and profit

Acquire deep understanding of the business problems and translate them into appropriate business solutions

Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results.

Drive development and delivery of analytic and statistical models using skills such as data acquisition and management.

Work with business partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.

Ability to develop optimization and creating Gen AI models to support business for their adhoc queries

Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge

Presenting information through reports and visualization

Translate business needs to technical specifications.

Develop and update technical / implementation documentation.

Staying abreast of cutting-edge data science techniques, tools, and technologies, and continuously improving analytical capabilities

Bachelors / Master's degree in Computer Science Engineering / Information Technology or an Engineering degree with MBA from a premier institute and quantitative emphasis