Job Detail

Position Description:

Data Engineer You will be responsible for providing the data support for enterprise data management tasks, including ingestion, standardization, enrichment, mastering, and assembly of data products for downstream applications. Provide visibility to Data Quality issues and work with the business owners to fix the issues. Implement an Enterprise Data Governance model and actively promote the concept of data standardization, integration, fusion, and quality.

Skills Required:

Strong Excel and PowerPoint Skills. Experience using big data platforms such as Hadoop • Experience with data collection, data mining, and statistical modeling • Passionate about turning data into INSIGHTS! Candidates should have experience with using data analysis tools such as Hive, PySpark, Apache Pig, Hadoop, SQL, QlikView, ETL tools. Post-graduate degree in Engineering / Computer Science or academic equivalent. Experience of working within a complex business environment, including at least 5 years in a single function, with a deep understanding of the information constructs of that business. Proven analytics capability to robustly examine large data sets and highlight patterns, anomalies, relationships, and trends. Self-starter, demonstrating high levels of data integrity. Excellent data and statistical analysis skills in Excel. Ability to manage deliverables according to a robust project plan.

Experience Required:

Minimum of 5 years of experience in a Data Engineering role creating data products, writing codes/queries/scripts, and building data visualizations. - Minimum of 3 years of experience in data design, data architecture, and data modeling (both transactional and analytic) - Minimum of 2 years of experience in Hadoop Big Data technology (HDFS, Hive, PySpark, Oozie, QlikView, etc.), especially PySpark, Hive, QlikView and Oozie experience transforming, visualizing and scheduling workflows