Data Engineer/Analyst at Glints
Data Engineering & Backend Development Proficient in AWS cloud services, including: ○ AWS Glue, Redshift, Athena, Lambda, S3, RDS, DynamoDB, Step Functions, IAM, CloudWatch. Experience with AWS Kinesis, EventBridge, and Apache Kafka for real-time data streaming. Strong experience in API development using FastAPI, Flask, Django, or Express.js. Database Management: Expertise in SQL (PostgreSQL, MySQL, Snowflake, BigQuery) and NoSQL (MongoDB, Firebase). Experience optimizing data lakes, data warehouses, and OLAP databases. ETL/ELT & Data Pipeline Orchestration: ○ Hands-on experience with Apache Airflow, Prefect, dbt (Data Build Tool), Luigi. Proficiency in data pipeline automation and workflow scheduling. Data Analytics & AI-Powered Visualization Proficiency in Tableau, Infogram, Power BI, Google Data Studio, and Superset. Hands-on experience with D3.js, Chart.js, Highcharts, ECharts for HTML-based data visualization. Experience using AI for predictive analytics, anomaly detection, and sentiment analysis. Strong Python skills (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) for exploratory data analysis. Experience with AI tools for auto-generated dashboards and AI-powered insights (ChatGPT API, OpenAI embeddings, NLP models, LlamaIndex, LangChain). Familiarity with machine learning models (Scikit-learn, TensorFlow, PyTorch) for forecasting and predictive analytics. Preferred Qualifications: Experience in real estate, financial data analytics, or SaaS platforms. Familiarity with cloud-based AI analytics tools such as AWS QuickSight, Google Vertex AI, and Azure AI services. Understanding of business intelligence (BI), KPI tracking, and A/B testing for data-driven decision-making. Experience in automating AI-powered financial reports and marketing insights.