Full Time, Remote
DKI Jakarta
Posted 7 days ago
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.
- 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.
- 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.
Job Features
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 ...
