Strong analytic skills related to working with unstructured datasets.
- Translate business requirements into data models that are easy to understand and used by different disciplines across the company
- Design, implement and build pipelines that deliver data with measurable quality under the SLA
- 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, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, SQL and Azure ‘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.
- Recommend different ways to constantly improve data reliability and quality.
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- At least 1 year of experience in data engineering
- 1 year of experience in PL/SQL development
- Strong analytic skills related to working with unstructured datasets.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Good to have experience on visualization tools such as PowerBI/Tableau or other BI tools.
Interested candidates who wish to apply for the advertised position, please send your resume to firstname.lastname@example.org
EA License No.: 13C6305
Registration ID: R1987730
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