We are seeking an experienced Senior Data Engineer/Scientist to join our Product Development (PD) team at Shega Media and Technologies Plc. As a Senior Data Engineer/Scientist, you will be responsible for designing, building, and maintaining large-scale data pipelines, architectures, and systems to support our business growth and data-driven decision-making. The successful candidate will work closely with cross-functional teams to develop innovative data solutions, ensuring data quality, scalability, and reliability.

Key Responsibilities:

• Develop and maintain ELT processes, data warehousing, and data lake architectures to support business intelligence and analytics.
• Design and implement data quality control mechanisms to ensure data accuracy and integrity.
• Design and implement scalable data storage solutions, including relational databases, NoSQL databases, and data warehousing solutions.
• Develop and maintain data processing and analytics tools, including data processing frameworks (e.g., Apache Spark, Kafka), Data warehouse platforms (e.g. Databricks, Snowflake), and data science libraries (e.g., Pandas, NumPy).
• Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data encryption techniques.
• Collaborate with the team to develop and deploy machine learning models, including data preprocessing, feature engineering, and model training.
• Conduct exploratory data analysis to identify trends, patterns, and correlations in large datasets
• Identifying patterns, trends, and anomalies within datasets.
• Participate in agile development methodologies, including daily stand-ups, and sprint planning.

Requirements:

• Bachelor's degree in computer science, Data Science, or a related field.
• At least 5 years of experience in data engineering, data science, or a related field.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with cloud-based technologies such as Azure, Snowflake, Apache Spark, Kafka, Databricks, Synapse Analytics, and Microsoft Fabric.
• Experience with data warehousing, data lake, and ETL/ELT processes.
• Strong understanding of data modeling, data governance, and data quality principles.
• Experience with agile development methodologies and version control systems such as Git.
• Experience with data visualization tools such as Power BI, Tableau, or D3.js.

What We Offer?

• Competitive salary.
• Opportunity to work with a talented team of software developers, data engineers and scientists.
• Collaborative and dynamic work environment.
• Professional development opportunities, including training and mentorship.
• Access to the latest technologies and tools.
• Games and fun