Required Skills:6-9 years of experience in Data Engineering Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data Creation of necessary infrastructure for ETL jobs from a wide range of data sources using, S3, Snowflake and AWS data services Experience in Data storage technologies like Amazon S3, SQL, NoSQL Hands-on experience in writing complex SQL. Hands-on experience in developing pipelines using AWS data services like Glue, Lambda Develop, manage, and optimize data pipelines using AWS Glue and PySpark. Hands on experience in Optimizing AWS services for cost-effectiveness and performance.

Data modeling technical awareness

Experience in working with stakeholders working in different time zones Good to have:Working knowledge on using Big Data technologies. Experience in collaborating data quality and data governance teams. Payments domain knowledge CRM, Accounting, etc. in depth understanding Regulatory reporting exposure Other skills:Good Communication skills Team Player Problem solver Willing to learn new technologies, share your ideas and assist other team members as needed Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.

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