Job description:
We are looking for a highly skilled Analytics/AI Engineer to bridge the gap between data engineering and data analysis. You will play a critical role in building scalable data pipelines, transforming raw data into actionable insights, and enabling data-driven decision-making across the organization.

Roles and Responsibilities:
• Design and implement robust, scalable data pipelines using PySpark, Python, Polars and Gen-AI.
• Develop data models and transformation logic to support analytics and business intelligence needs.
• Leverage Python and Object-Oriented Programming (OOPs) principles to build reusable and maintainable data tools and workflows.
• Utilize Databricks and cloud-based platforms to process and manage large datasets efficiently.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver clean, trusted data.
• Ensure high data quality and consistency across different systems and reports.

Skills Required:
• Strong knowledge of Python programming.
• Good understanding of Object-Oriented Programming (OOPs) concepts.
• Advanced SQL skills for data manipulation and querying.
• Knowledge with PySpark, Polars for distributed and in-memory data processing.
• Ability to work independently in a fast-paced, agile environment.
• Problem-solving mindset with eagerness to learn and experiment.
• Good communication and collaboration skills.

Good to Have:
• Understanding of data architecture, ETL/ELT processes, and data modelling.
• Knowledge on Databricks and Azure Cloud Environment.
• Good to have an understanding on Data Structures and Algorithms.
• Familiarity with best coding practices, CI/CD & version control (Git).

Other Details:
• A stipend of ₹20,000 will be provided per month for the first 6 months.
• After 6 months, Candidates will be evaluated based on their performance and cultural fit for further consideration.

Interview Details:
4 Rounds of Interview
• Aptitude Test
• Group Discussion
• Technical Round
• HR Round