À propos
Create the conceptual, logical and physical data models. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc. Lead and/or mentor a small team of data engineers. Design, develop, test, deploy, maintain and improve data integration pipelines. Develop pipeline objects using Apache Spark / Pyspark / Python or Scala. Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services. Load and performance test data pipelines built using the above-mentioned technologies. Communicate effectively with client leadership and business stakeholders. Participate in proposal and/or SOW development Requirements:
Bachelor's degree in Computer Science, Data Engineering, Electronics Engineering, Data Science or related field of study plus 5 years of experience in related occupations is required. 5 years of experience in the following: Designing and implementing data pipelines in a cloud environment; Object-oriented programming using Scala, Python, R, or Java. 4 years of experience in the following: Using SQL to write complex, highly-optimized queries across large volumes of data. 3 years of experience in the following: ETL pipeline implementation using AWS, Azure or GCP services; Designing/implementing solutions using one or more of the following databases: Snowflake, AWS Redshift, Synapse, Big Query, Oracle, SQL Server, Teradata, Netezza, Hadoop, Mongo DB or Cassandra. 2 years of experience in the following: Cloud platforms: AWS, Azure, or GCP. Telecommuting is permitted. 40 hours/week.Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref# 37814 for consideration. Benefits:
Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D Unlimited Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long-Term Disability Employee Assistance Program Training & Development Work From Home Bonus Program
Compétences linguistiques
- English
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