Sr Data Engineer at PayPal

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Storage Solutions, Data Quality, Data Transformation, ETL, Data Visualization, Python, AI/ML, Anomaly Detection, Automation, Collaboration, Business Intelligence, Dashboard Development, Predictive Insights, Data Analysis

Industry

Software Development

Description

Lead the design and development of complex data pipelines for data collection and processing. Develop and maintain advanced data storage solutions. Ensure data quality and consistency through sophisticated validation and cleansing processes. Implement advanced data transformation techniques to prepare data for analysis. Collaborate with cross-functional teams to understand data requirements and provide innovative solutions. Optimize data engineering processes for performance, scalability, and reliability. Own the BI lifecycle: From ETL and data quality to visualization, documentation, and intelligent alerting, ensuring seamless BI operations. Predictive insights builder: Integrate AI/ML techniques into dashboards to surface anomalies, forecasts, and smart recommendations. Dashboard innovation: Rapidly prototype and build next-gen BI dashboards with embedded insights, anomaly alerts, and advanced visual storytelling. Insight accelerator: Proactively deliver early-warning signals and trends through anomaly detection and automated alerts. Data detective: Identify, investigate, and resolve data anomalies, ensuring reliability and consistency. Automation advocate: Continuously improve workflows through automation, alerting, and AI-based monitoring. Business translator: Bridge the gap between data and business by providing timely, actionable insights and decision-support tools. Collaboration & leadership: Work closely with global stakeholders to define metrics, set up proactive alerting, and deliver actionable insights at scale. 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Bachelor's degree in a quantitative field: Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related discipline. (Master's degree a plus) 3+ years leading BI initiatives: Delivering end-to-end data solutions, analyzing large datasets, and transforming them into actionable insights. ETL Expertise: 2+ years managing data extraction, transformation, and loading from multiple sources using advanced SQL and Jupyter Notebooks. Data Visualization Master: 2+ years of experience creating dashboards and visualizations with Looker, Tableau, or similar. Python Powerhouse: 2+ years of experience scripting for data manipulation, insights generation, and automation. AI/ML Familiarity: Hands-on exposure to anomaly detection, intelligent alerting, and integrating predictive models into BI dashboards. Fintech Advantage: Experience in the Fintech/Banking/Credit/Payment industry is a strong plus.

Responsibilities

Lead the design and development of complex data pipelines and maintain advanced data storage solutions. Collaborate with cross-functional teams to optimize data engineering processes and deliver actionable insights.