Analytical Engineer

We are looking for a BI Engineer / Analytics Engineer with strong experience in data engineering, analytics, Python-based ETL, APIs, SQL, and cloud technologies. The ideal candidate should be comfortable building scalable data pipelines, handling and manipulating large datasets, integrating APIs, and collaborating closely with technology, product, data engineering, and business teams.

Key Responsibilities

• Design, develop, and maintain Python-based ETL pipelines for data extraction, transformation, and loading.
• Work with REST APIs and third-party APIs to extract and integrate data from multiple sources.
• Build and manage data handling and data manipulation workflows.
• Develop and maintain data warehousing solutions to support analytics and business intelligence requirements.
• Write optimized and scalable SQL queries for data extraction, transformation, and analysis.
• Work on cloud deployment and data solutions using GCP and/or AWS.
• Develop automated and scalable data workflows to improve data availability and reliability.
• Implement AI-powered workflows and automation to improve analytics and operational efficiency.
• Apply web scraping techniques for data extraction where required.
• Collaborate with Technology, Product, Data Engineering, and Analytics teams to understand requirements and deliver robust data solutions.
• Follow SDLC frameworks, including development, testing, deployment, documentation, and maintenance.
• Contribute to building efficient, reliable, and scalable analytics infrastructure.

Required Skills

• Must have 2-3 years of experience
• Strong proficiency in Python and Python-based ETL pipelines.
• Strong SQL skills.
• Experience with data handling, data manipulation, and data warehousing.
• Hands-on experience with REST APIs and API integrations.
• Knowledge of cloud platforms such as GCP and/or AWS.
• Understanding of cloud deployment and data pipelines.
• Knowledge of JavaScript.
• Understanding of AI-powered workflows and automation.
• Good understanding of SDLC processes and software development practices.
• Strong problem-solving and analytical skills.
• Ability to collaborate effectively with technical and cross-functional teams.

Good to Have

• Experience with web scraping and data extraction.
• Experience building automated data workflows.