Data Engineering

You should have 2 - 7 years of experience in Python with a good understanding of Big data ecosystems and frameworks such as Hadoop, Spark etc. Your experience should include developing data processing tasks using PySpark. Expertise in at least one popular cloud provider preferably AWS would be a plus. Additionally, you should possess good knowledge of any RDBMS/NoSQL database with strong SQL writing skills. Experience with Datawarehouse tools like Snowflake and any one ETL tool would be advantageous. Your skills should include strong analytical and problem-solving capability, excellent verbal and written communication skills, and the ability to work directly with clients to build trusted relationships with stakeholders. You should also be able to collaborate effectively across global teams and have a strong understanding of data structures, algorithms, object-oriented design, and design patterns. Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality is required. A general knowledge of business processes, data flows, and quantitative models that generate or consume data is also preferred. You should be an independent thinker, willing to engage, challenge, and learn new technologies. Role & Responsibilities: - Maintain high-quality coding standards and deliver work within the stipulated time frame. - Review the work of team members and occasionally provide guidance. - Develop an understanding of Work Breakdown Structure and assist the manager in delivering the same. - Develop sector initiatives such as credential building and knowledge management. - Act as a Team lead and proficiently deliver key responsibilities in line with the project plan.,