Data & AI- Data Engineer

Responsibilities Work with large datasets to identify trends, patterns, and insights. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from relational databases. Use Python for data wrangling, transformation, and statistical analysis. Build reports, dashboards, and visualizations to present findings to stakeholders. Collaborate with cross-functional teams including business, product, and engineering to support analytics needs. Assist in developing data models and data pipelines as needed. Ensure data accuracy and consistency through validation and quality checks. Travel as needed. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. 2 to 3 years of hands-on experience in data analysis or related roles. Proficiency in SQL with the ability to write complex queries. Strong programming skills in Python (Pandas, NumPy, etc.). Experience with data visualization tools (e.g., Power BI, Tableau, or similar). Solid understanding of data structures, statistical methods, and business KPIs. Strong problem-solving skills and attention to detail. Good communication skills with the ability to present data-driven insights clearly. Experience working with cloud platforms (e.g., AWS, GCP, or Azure). Preferred Capability (Nice to have): Familiarity with ETL processes or tools. Knowledge of version control systems like Git. Exposure to machine learning concepts or libraries (e.g., scikit-learn). Shortlisted candidates will be offered a 6 months Agency Contract employment Licence no: 12C6060 #J-18808-Ljbffr