Data Analyst required to develop ETL pipelines and analyze data using Python at Tiger Analytics. Collaborate with teams to deliver insights and transform large datasets.
Responsibilities
Develop and maintain **ETL pipelines using Ab Initio** to process and transform large datasets.
Write efficient **SQL queries** to extract, manipulate, and analyze data from multiple sources.
Use **Python** for data processing, automation, and analytics.
Work with **AWS cloud services** to manage and analyze data in cloud environments.
Perform data validation, quality checks, and troubleshooting for data pipelines.
Build reports, dashboards, and insights to support business decisions.
Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
Ensure data accuracy, consistency, and governance across systems.
Requirements
Strong programming experience in **Python** (Java acceptable).
Hands-on experience with **AWS cloud services**.
Experience building and supporting **microservices architecture**.
Experience with **Node.js** for backend/API development.
Exposure to **Angular** frontend framework.
Strong understanding of REST APIs and distributed systems.
Experience with CI/CD pipelines and DevOps practices.
Required Skills
**5 years of experience** in Data Analytics or Data Engineering roles.
Strong experience with **Ab Initio (ETL)**.
Proficiency in **Python** for data analysis and scripting.
Advanced **SQL** skills for querying and manipulating data.
Hands-on experience with **AWS Cloud services**.
Experience working with large datasets and data pipelines.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Benefits
Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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