Data Infrastructure & Engineering
Mahaana (YC W22)
Date: 1 hour ago
City: Remote
Contract type: Full time
Remote
Send your CV & portfolio at [email protected] with the subject “Data Infrastructure & Engineering". Please mention your current and expected salary in your submission.
JD - Data Infrastructure & Engineering
JD - Data Infrastructure & Engineering
- Design and build scalable data pipelines processing financial transactions, market data, and user behaviour
- Develop ETL processes integrating data from CDC, banking partners, fund administrators, and market data providers
- Build real-time data systems for portfolio tracking, NAV calculations, and transaction processing
- Maintain data quality frameworks ensuring accuracy of financial reporting and regulatory compliance
- Optimize database performance for sub-second query response on millions of transactions
- Analyze user behavior to identify drop-off points, conversion bottlenecks, and engagement patterns
- Build dashboards and reporting systems for internal teams and regulatory submissions
- Conduct cohort analysis to understand customer lifetime value, retention, and product usage
- Develop attribution models to measure marketing channel effectiveness and CAC optimization
- Create financial models for portfolio performance analysis and risk assessment
- 2-5 years experience in data science, data engineering, or analytics (fintech/finance experience strongly preferred)
- Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
- Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
- Experience building ETL pipelines and working with large datasets (millions of records)
- Strong statistical knowledge and experience with A/B testing, regression analysis, time series
- Ability to communicate complex technical concepts to non-technical stakeholders
- Self-starter comfortable working in a fast-paced startup environment
- Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Airflow, Kafka)
- Knowledge of financial products (mutual funds, pension schemes, market indices)
- Familiarity with regulatory requirements in Pakistan's financial sector
- Experience with visualization tools (Tableau, Power BI, Looker, or custom dashboards)
- Background in behavioral economics or consumer psychology
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