05/23/2022
As an experienced AWS Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.
Work you'll do/Responsibilities:
• Creating/managing AWS services
• Work with distributed systems as it pertains to data storage and computing
• Building and supporting real-time data pipelines
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Establish solid design and best engineering practice for engineers as well as non-technical people
• Support the implementation of data integration requirements and develop the pipeline of data from raw to curation layers including the cleansing, transformation, derivation and aggregation of data.
The Team In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data Operations team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data Operations will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providingj As-a-Service offerings for continuous insights and improvements.
Qualifications -
Required
• Bachelor's or Master's degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or related technical field; or equivalent practical experience.
• 3 to 5 years of overall experience in IT.
• 1 to 2 years of hands-on experience as a Data Engineer.
• Experience with the Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc).
• Experience in performing data analysis, data ingestion and data integration.
• Experience with ETL(Extraction, Transformation & Loading) and architecting data systems or Python PySpark, or Scala/Spark.
• Experience with implementation, migrations and upgrades in the AWS Cloud environment. • Experience with schema design, data modeling and SQL queries.
• Passionate and self-motivated about technologies in the Big Data area.
• Experience building and deploying micro-based applications in cloud with Continuous Integration & Continuous Deployment (CI/CD) tools and processes.
• Experience with traditional and Cloud based API development.
• Strong data & logical analysis skills.
• Travel up to 10-25% annually.
• Sponsorship and immigration support is available.
All qualified applicants will receive consideration for employment without regard to race, color, religion, s*x, s*xual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Apply directly at https://itechsavvy.us/career/
