Data Management Engineer

Full Time

Ejada -
Cairo, EgyptPosted 2 years ago

51Applicants for4 open positions

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Job Description

Primary Tasks and Responsibilities

Maintain and test the implementation of data management projects.
Assemble data management products’ features to meet functional and non-functional business requirements.
Work with clients’ and vendors’ stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Implement client process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Implement processes supporting data transformation, data structures, metadata, dependency and workload management.
Work with data and analytics experts to strive for greater functionality in our data solutions.
Conduct research in the industry to address any issues that can arise while tackling a business problem.
Remain up-to-date with industry standards and technological advancements that will improve the quality of our outputs.
Learn and search about tools and products used in our projects in all data management domains, especially for Informatica products.
Create delivery related documents: Solution Architecture, Low-Level Design, Business Requirement Document, System Requirement Specification, User Guide, etc.

Secondary Tasks and Responsibilities

Ensure optimal delivery process is consistent throughout ongoing projects.
Identify and design client process improvements.
Optimize or even re-design our company’s solution architecture and implementation methodology to support and improve our services and data initiatives.
Implement analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Employ machine learning techniques to create and sustain structures that allow for the analysis of data.

Job Requirements

BSc in Computer Science, Statistics, Informatics, Information Systems, Data Engineering, Big Data Analytics, or another related field.
3 to 5 years of work experience in a Data Engineer role in data management implementation and/or support projects.
Experience with the following software/tools:
- Relational SQL and NoSQL databases: Oracle, MS SQL Server, PostgreSQL, Cassandra, MongoDB, etc.
- Big data tools: Hadoop, Hive, Spark, Kafka, etc.
- Analytics tools: Tableau, Power BI, etc.
- Object-oriented/object function scripting languages: Python, Java, Scala, JavaScript, etc.
Technical experience with data models, data analysis and design, master data management, metadata management, data warehousing, business intelligence, and data quality improvement.
Experience with Data Governance, Data Catalog, Data Quality and Master Data Management concepts and tools.
Familiarity with ETL, Data Lake, Data Warehouse, Data Storage, Big Data, Data Security, Data Privacy and Open Data concepts and tools.
Use a systematic approach to maintain data architectures while also keeping it aligned with business requirements.
Ability to grasp business rules.
Excellent analytical, problem-solving and troubleshooting skills.
Fair analytic skills related to working with unstructured datasets.
Basic knowledge of AI and data science.
Experience working at/with companies performing complex/large scale data management implementations, employing recognized best practices.
Capacity to successfully manage a pipeline of duties with minimal supervision.
Excellent knowledge and prowess to work in any development environment.
Demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism.
Demonstrate unsatiated curiosity and outstanding interpersonal skills.

Nice to have qualifications

Data engineering certifications.
Informatica certifications.
Experience with the following software/tools:
- Informatica Data Management products including cloud services.
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Stream-processing systems: Storm, Spark-Streaming, etc.
- Cloud services: AWS, Google Cloud, Azure, etc.
Experience with ETL, Data Lake, Data Warehouse, Data Storage, Big Data, Data Security, Data Privacy and Open Data concepts and tools.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Fair knowledge about some lines of business: financial accounting, CRM, manufacturing, supply chain, HCM, etc.
Project management and organizational skills.
Experience in planning & costing.
Experience in preparing technical & financial proposals