Data Engineer at Ascentech Services Limited

Ascentech Services Limited is a full-fledged Human Resource Solution Provider incorporated in 2013 with its Head Office in Lagos, Nigeria. We are committed to forging long-term partnerships with our clients by creating and delivering robust and flexible services that address the changing needs of their business.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Victoria Island, Lagos
Employment Type: Full-time

Role Summary

• You will connect and model complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies
• Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services

Key Responsibilities

• Define data lifecycle, including data models and data sources for analytics platform, gathering data from business and clean the data
• Create and maintain optimal data pipeline architecture
• Conducts 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.
• Build 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
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Performs aggregations on data across various warehousing models
• Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep data secure
• Create data tools for analytics and data scientist team members
• Works closely with database teams on topics related to data requirements,cleanliness, accuracy etc.

Requirements

• 5-7 years’ experience in a statistical and/or data science role
• Experience working with large data sets, simulation/ optimization and distributed computing tools
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (Informatica, Altryx)as well as more recent big data tools
• Experience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
• Experience Proficiency in R and/or SAS; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful
• Knowledge in data architecture, defining data retention policies, monitoring performance and advising any necessary infrastructure changes
• Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
• Solid business and collaboration skills, and responsive to service needs and operational demand.

Application Closing Date
20th September, 2024.

Method of Application
Interested and qualified candidates should send their CV to: [email protected] using the Job Title as the subject of the mail.