Data Engineer - Python/SQL

Role : Data Engineer ( Pune,Hybrid and Has to go to office thrice in a month) Total Experience : 6 - 9 yrs Relevant Experience: Minimum 5 yrs Preferred candidates Pune based Hinjewadi, Kharadi, Baner, Viman Nagar locations and has to go to office thrice in a month Preferred domain : Private Equity / Venture Capital and associated secondary market Location : Pune | Hybrid ( Thrice in a month) Work timings : Initial: Start time 11 AM (IST) -> 5 hours Start time 8 / 8:30 PM (IST) -> 3 hours Skills & Experience : - At least 5 years of experience as a Data Engineer - Hands-on and in-depth experience with Star / Snowflake schema design, data modeling, data pipelining and MLOps. - Experience in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc) - Experience in AWS data pipelines (Lambda, AWS glue, Step functions, etc) - Proficient in SQL - At least one major programming language (Python / Java) - Experience with Data Analysis Tools such as Looker or Tableau - Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred - Familiarity with Git, GitHub, and JIRA. - Ability to locate & resolve data quality issues - Ability to demonstrate end to ed data platform support experience Other Skills : - Individual contributor - Hands-on with the programming - Strong analytical and problem solving skills with meticulous attention to detail - A positive mindset and can-do attitude - To be a great team player - To have an eye for detail - Looking for opportunities to simplify, automate tasks, and build reusable components. - Ability to judge suitability of new technologies for solving business problems - Build strong relationships with analysts, business, and engineering stakeholders - Task Prioritization - Familiar with agile methodologies. - Fintech or Financial services industry experience - Eagerness to learn, about the Private Equity/Venture Capital ecosystem and associated secondary market Responsibilities : - Design, develop and maintain a data platform that is accurate, secure, available, and fast. - Engineer efficient, adaptable, and scalable data pipelines to process data. - Integrate and maintain a variety of data sources: different databases, APIs, SAASs, files, logs, events, etc. - Create standardized datasets to service a wide variety of use cases. - Develop subject-matter expertise in tables, systems, and processes. - Partner with product and engineering to ensure product changes integrate well with the data platform. - Partner with diverse stakeholder teams, understand their challenges and empower them with data solutions to meet their goals. - Perform data quality on data sources and automate and maintain a quality control capability. (ref:hirist.tech)

Location: pune, IN

Posted Date: 11/23/2024