Job
Description
Design and build data pipelines Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust endtoend solutions Knowledge about the concepts of data lake and data warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. Deploy and configure components to production environments Technology Redshift, S3, AWS Glue, Lambda, SQL, PySpark , SQL Mandatory skill sets A WS Data Engineer Education qualification Btech /MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills AWS Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis
