What you’ll do? Responsibilities Python a. This role will involve end-to-end design & development in the areas of Python and backend layer. Python Scraping is a plus. b. Understand existing code base and participate in performance tuning. c. Work with the Data team to troubleshoot and resolve data integrity issues. d. Maintain source-code repository. e. Create and maintain user and technical documentation. f. Automate recurring operational and maintenance tasks. Analytics and Data Science g. Root Cause Analysis using Excel Pivot, Charting h. Keyword Labeling Algorithms i. Increase efficiency of labeling algorithms Databases j. You will bring data from Python jobs to the databases. k. Work on performance tuning of queries. l. Analysis of data in Excel and SQL Who you are? Requirements BS/MS degree in Computer Science, Engineering or a related subject. Experience in Data Pipelines, Data Frames, and ETL Strong development skills in Python. Experience working with relational databases and writing complex SQL procedures Source control - Git Experience with development and fine tuning stored procedures, functions, etc. Experience with automation for repetitive tasks. Experience with automation for repetitive tasks. Experience with Linux and Windows Server environments. Ability to interact with non-technical teams. Ability to multi-task and context-switch effectively between different activities and teams. Ability to independently identify problems and recommend solutions. Ability to break down complex problems into approachable milestones. Familiarity with basic dashboarding solutions like Google Data Studio, etc. Familiarity with Google Sheets (Excel), Google Docs and so on. Clear and effective communication in English (spoken and written). Good time and management skills. Data Engineer : Python+SQL+Data Analysis