Lead data engineer

Job Description

Roles and Responsibilities:
• Analyse and organize raw data
• Build data systems, pipelines, and data products.
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modelling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Automate Tasks
• Create Models and Identify Patterns
Key Skills:
• Previous experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, data migration, Data warehousing and
segmentation techniques (GCP).
• Big query, big tables and Compute engine in GCP.
• Knowledge of programming languages Python, R, and java.
• Machine learning will be added advantage.
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Data engineering certification is a plus Analytical mind and business expertise.
• Problem-solving aptitude
• Good in Excel reporting (Advance)/ Power BI/Qlik Sense/ GCP platform expertise.
• Strong SQL skills with the ability to learn other analytic tools
• Strong verbal, written communication, and presentation skills.
• Attention to detail.

Requirements:
• Work experience as a min 5 yrs. data engineer or in a related field.