Data Engineer

Lagos, LA, Nigeria

Applications have closed

Lorgarithm

Lorgarithm is a global recruitment and talent factory, nestled within the heart of Africa, where we combine the warmth of our continent's spirit with world-class expertise to cultivate opportunities, foster careers, and shape a brighter...

View all jobs at Lorgarithm

Job Title: Data Engineer

Company Overview:

Lorgarithm is a leading data analytics company that specializes in providing cutting-edge solutions to businesses of all sizes. Our goal is to help our clients harness the power of data to make informed decisions and drive business growth. We are a fast-paced and dynamic organization that values innovation, collaboration, and continuous learning.

Position Overview:

We are seeking a highly skilled and motivated Data Engineer to join our team on a full-time basis. The ideal candidate will have a strong background in data engineering and a passion for working with large and complex datasets. As a Data Engineer at Lorgarithm, you will be responsible for designing, building, and maintaining our data infrastructure, as well as developing and optimizing data pipelines to support our data analytics and machine learning initiatives.

Key Responsibilities:

- Design and build data pipelines to extract, transform, and load data from various sources into our data warehouse

- Develop and maintain data models to support business intelligence and analytics needs

- Collaborate with data scientists and analysts to understand data requirements and ensure data accuracy and consistency

- Identify and troubleshoot data quality issues and implement solutions to improve data quality

- Monitor and optimize data pipelines for performance and scalability

- Develop and maintain data governance and security policies and procedures

- Stay up-to-date with the latest data engineering tools and techniques and make recommendations for process improvements

- Work closely with cross-functional teams to understand business needs and provide technical expertise and support

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field

- Minimum of 3 years of experience in data engineering or a similar role

- Strong knowledge of SQL and experience working with relational databases

- Experience with ETL tools and data integration techniques

- Proficiency in at least one programming language (Python, Java, etc.)

- Familiarity with cloud-based data platforms (AWS, Azure, etc.)

- Experience with data modeling and data warehousing concepts

- Strong problem-solving and analytical skills

- Excellent communication and collaboration skills

- Ability to work in a fast-paced and dynamic environment

Why Work at Lorgarithm:

- Opportunity to work with cutting-edge technologies and solve complex business problems

- Collaborative and inclusive work environment that values diversity and promotes personal and professional growth

- Competitive salary and benefits package

- Flexible work hours and remote work options

- Regular training and development opportunities

- Fun and social work culture with team events and outings

If you are passionate about data and want to be part of a dynamic team that is driving innovation in the data analytics industry, then Lorgarithm is the place for you. Apply now and join us on our mission to unlock the power of data for our clients.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  8  1  0
Category: Engineering Jobs

Tags: AWS Azure Business Intelligence Computer Science Data Analytics Data governance Data pipelines Data quality Data warehouse Data Warehousing Engineering ETL Java Machine Learning Pipelines Python RDBMS Security SQL

Perks/benefits: Career development Competitive pay Flex hours Team events

Region: Africa
Country: Nigeria

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.