Looking for a Data Analytics Engineer with strong SQL, Python, and BI tool expertise to drive data strategy, build robust analytics solutions, and support business growth.

Responsibilities - Gather and interpret client requirements, translating them into effective solutions, including dashboards and data pipelines. - Design, develop, and maintain robust ETL/ELT data pipelines using SQL and Python. - Model and transform data into clean, well-documented, analytics-ready tables. - Ensure high data quality through testing, validation, and monitoring. - Optimize queries for performance and usability in BI tools (e.g., Redash, Power BI). - Work closely with cross-functional teams to understand their data needs and deliver consistent, high-quality analytical support

- Bachelor’s degree or higher in IT, Engineering, Business or other related fields. - 2-4 years experience in Data Analyst/Data Engineer field. (Personal/learning project included) - Strong proficiency in SQL (window functions, CTEs, optimization). - Solid Python skills for data manipulation and scripting (e.g., data cleaning, data extraction, automated ETL pipeline). - Experience in using business intelligence tools such as Redash and Power BI. - Comfortable working with version control (e.g., Git).

- Experience in the e-commerce. - Familiarity with Airflow or other workflow orchestration tools. - Exposure to cloud platforms (GCP, AWS, Azure).