Data Engineer Job at ParallelScore: This is to inform the general public that ParallelScore offers Job in the area of Engineering / Technical. See, application deadline,work level,job specialization,job location,job type and method of application below!
JOB SUMMARY BELOW
- Company: ParallelScore
- Deadline Date: 17th June, 2022
- Specialization: Engineering / Technical
- Work Level: Experienced (Non-Manager)
- Job Type: Full-Time
- Experience:
- Location(s): Lagos
Job/Company Description:
Parallel Score is a product development firm that develops data and user-centric solutions by leveraging design, engineering, and innovative thinking. We are a provocative product development agency that is focused on imagining and building highly-interactive and user- driven experiences that push the limits of user design and development.
We are recruiting to fill the position below:
Job Position: Data Engineer
Job Location: Lagos
Job Category: Full-time
Job Description
- Our company is looking to fill the role of a Data Engineer.
- To join our growing team, please review the list of responsibilities and requirements.
Job Responsibilities
- The ability to clean, analyze, integrate and process complex data
- Experience in analytical, machine learning, and statistical modeling techniques, in identifying patterns and signals (desirable)
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure ‘big data’ technologies.
- Good at communicating to all levels, with the ability to share information and transfer knowledge and expertise to other colleagues
- Open-minded and able to see the bigger picture
- Collect and mine data to provide a better user experience
- Mine massive datasets that are high-dimensional graph-based
- Deploy data processing and analysis pipelines
- Capability to self-learn new technologies in a 4-week timeframe
- Design, build and maintain all parts of the data warehouse infrastructure to support adaptive streaming analysis (requirements gathering, ETL, data modeling, metric design, reporting/dash-boarding, etc).
Job Requirements
- Experience with big data tools: Databricks, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases.
- Experience with data pipeline and workflow management tools
- Experience with AWS or Azure cloud services related to big data and data migration
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented / object function scripting languages: Python, Java, Javascript, etc.
Skills:
- Statistical concepts
- Administrative Coding
- Agile development methodology
- AWS and Azure platform
- Data modeling best practices and the ability to apply an analytical & structured approach
- Data pre-processing
- Data-bricks, Delta lake, Hadoop, Spark, Kafka,
- Feature engineering.
