Python Data Engineer

Role: Python Data Engineer/Developer

Exp: 3 Years Relevant

Location: PAN India

Positions: 1

Budget: 15 LPA

Notice: Immediate joiners only

JD:

Key Responsibilities:

Lead the development and maintenance of our Pythonbased data processing and analytics infrastructure.

Design and implement robust ETL processes integrating data from diverse sources.

Develop manage and optimize data warehouses and pipelines.

Craft and refine data models and database structures.

Conduct data profiling ensure data quality and execute data cleansing routines.

Address and resolve challenges in data processing and quality maintaining efficient data pipelines.

Keep abreast of the latest trends in data engineering and NoSQL technology advancements.

Collaboratively engage in code reviews testing and deployment of new functionalities.

Uphold stringent data security and privacy standards.

Mentor team members in system architecture and best practices in data engineering.

Qualifications:

Bachelor s or Master s in Computer Science or related field.

Minimum 3 years of experience in Python development and data engineering.

Expertise in SQL/NoSQL databases Pandas and data visualization

Proficiency in handling large datasets and working with NoSQL databases.

Experience with cloud services (AWS Azure) Airflow and data warehousing technologies.

Knowledge of Docker and Azure SQL Data Warehouse.

Understanding of private credit investment and assetbacked securities is highly desirable.

Skill in data visualization tools like Power BI.

Independent problemsolving ability strong teamwork and communication skills.

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