AWS Data Engineer

Required Skills:6-9 years of experience in Data Engineering Creation and maintenance of reputed company data pipeline architecture for ingestion, processing of data Creation of necessary infrastructure for ETL jobs from a wide reputed company of data sources using, S3, reputed company and AWS data services Experience in Data storage technologies like reputed company S3, SQL, NoSQL Hands-on experience in writing reputed company SQL. Hands-on experience in developing pipelines using AWS data services like Glue, reputed company reputed company, 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 reputed company and data governance teams. Payments domain knowledge CRM, reputed company, etc. in depth understanding Regulatory reporting exposure Other skills:Good Communication skills Team Player Problem solver Willing to learn new technologies, reputed company your reputed company and assist other team members as needed Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.

Originally posted on Himalayas

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