Data Platform Engineer ? ETL,SQL,Python,Java,Scala,AWS

Job Description

Data Platform Engineer ? ETL,SQL,Python,Java,Scala,AWS We provide virtual business process services to various types of overseas clients, and this position is to be part of the team which provides software Services to client from E-commerce Platform from the USA About the Role We are looking to hire a skilled Data Platform Engineer to join the data platform team. The candidate will have a strong background in data engineering, cloud technologies and software development. You will be responsible for designing, building and maintaining a scalable data platform that supports the organization's data needs and work closely with analysts and other stakeholders to enable data driven decisions. Responsibilities - Build and maintain data pipelines for ETL processes - Ensure data quality and integrity across all data systems - Collaborate with analysts and stakeholders to meet data needs - Monitor and troubleshoot data platform issues - Stay up-to-date with latest data engineering technologies and trends - Automate data workflows and processes - Work with cloud platforms such as AWS or Azure - Collaborate with cross-functional teams to deliver data solutions - Provide technicall support and guidance to team members - Continuously improve data platform performance and reliability - Implement data integration solutions for various data sources - Develop and maintain data models and schemas Qualifications and experience Graduation with Computer science, Data Science, Software programming At least 5 years of experience in data engineering or related roles Experience with cloud platforms like AWS or Azure Proficient in Python, Java or Scala, Experience with SQL and NoSQL databases Strong analytical and problem-solving skills, Excellent communication and collaboration skills Ability to work independently and as part of a team Strong understanding of data architecture and data modeling. Knowledge of ETL processes and data integration techniques. Experience with AWS, Familiarity with Spark or Kafka, Familiarity with redshift Familiarity with Tableau, - Familiarity with machine learning/AI, - Familiarity with Vertica Location: Work from home Timings: USA Shift IST 5-30pm to 2-30am Salary range: Best in Industry Apply at: https://www.finacplus.com/current-openings/