Impact Analytics - Senior Data Engineer - SQL/Python/ETL

What this role entail : - Develop, construct, test and maintain existing and new data-driven architectures - Align architecture with business requirements and provide solutions which fits best to solve the business problems - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data- technologies - Data acquisition from multiple sources across the organization - Use programming language and tools efficiently to collate the data - Identify ways to improve data reliability, efficiency, and quality - Use data to discover tasks that can be automated - Deliver updates to stakeholders based on analytics - Set up practices on data reporting and continuous monitoring What lands you in this role : - Graduate or Postgraduate in Computer Science or in similar quantitative area (B.Tech/B.E or M.Tech in Computers, IT) - 4 years of relevant work experience as a Data Engineer or in a similar role - Hands-on experience on different databases, python tools and ability to solve complex business problems using data - Advanced SQL knowledge, Data-Modelling and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases - Experience in developing and optimizing ETL pipelines, bigdata data pipelines, and data-driven architectures - Strong knowledge in programming using Python Shell - Strong analytical skills related to working with different types of datasets - Build processes supporting data transformation, data structures, metadata, dependency and workload management - Experience supporting and working with cross-functional teams in a dynamic environment - Strong knowledge of working with different OS Linux, Windows, etc (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/28/2024