Data Engineer - Victoria Island
دوام كامل
في Ascentech Services Limited
في
Nigeria
نُشرت يوم September 19, 2024
تفاصيل الوظيفة
Role Summary:-
- ou will connect and model complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies
- pply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services
- efine data lifecycle, including data models and data sources for analytics platform, gathering data from business and clean the data
- reate and maintain optimal data pipeline architecture
- onducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- uild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
- uild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- erforms aggregations on data across various warehousing models
- ork with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- eep data secure
- reate data tools for analytics and data scientist team members
- orks closely with database teams on topics related to data requirements, cleanliness, accuracy etc.
- -7 years’ experience in a statistical and/or data science role
- xperience working with large data sets, simulation/ optimization and distributed computing tools
- ractical knowledge across data extraction and transformation tools - traditional ETL tools (Informatica, Altryx)as well as more recent big data tools
- xperience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
- xperience Proficiency in R and/or SAS; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful
- nowledge in data architecture, defining data retention policies, monitoring performance and advising any necessary infrastructure changes
- omfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
- olid business and collaboration skills, and responsive to service needs and operational demand
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