Job Title :Data Engineer(6-9 years)
Experiance :6-9 years years of experience.
Location : Pune
Short Description :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 Data Engineer No of pages: 2 Page 2 ❖ 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: o Design, develop and maintain a data platform that is accurate, secure, available, and fast. o Engineer efficient, adaptable, and scalable data pipelines to process data. o Integrate and maintain a variety of data sources: different databases, APIs, SAASs, files, logs, events, etc. o Create standardized datasets to service a wide variety of use cases. o Develop subject-matter expertise in tables, systems, and processes. o Partner with product and engineering to ensure product changes integrate well with the data platform. o Partner with diverse stakeholder teams, understand their challenges and empower them with data solutions to meet their goals. o Perform data quality on data sources and automate and maintain a quality control capability.
Technical Skills :❖ 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