Data Infrastructure & Engineering

Mahaana (YC W22)


Date: 2 weeks 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

  • 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

Analytics & Insights 

  • 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

Required

  • 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

Preferred

  • 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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