Data Engineer

Role: Data Engineer Location-Torrance, CA - Onsite Duration: 12+ Months Rate: $55/HR on W2 Job Description Key Responsibilities Design and buildendtoend data pipelineson AWSDevelop and optimizeETL/ELT workflowsImplement data models for analytics and reportingEnsure data quality, performance, security, and reliabilityCollaborate with architects, analysts, and business teamsRequired Skills Strong handson experience withAWS data services(S3, Glue, Redshift, Lambda, EMR)Proficiency inPython / PySp

Role: AWS Data Architect Location: Torrance CA Onsite-4 days a week Duration: Long Term Key Responsibilities Data Architecture Design: Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control. Define data models, data lineage, and data quality standards for the Datahub. Select appropriate AWS services (S3, Glue, Redshift, Athena, Lambda) based on data volume, access patterns, and performance requirements.

Title: Data Engineer Location: Downey, CA - Onsite Duration: 12 Months Skills Required: Cloud Platforms: Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, power apps, and Functions. Additionally, in-depth understanding and implementation of API management such as Apigee. Big Data Technologies: Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeli

Job Role: Senior Data Engineer Location: Los Angeles, CA (90012) Duration: 12 Months Contract Additional Skills Required: Cloud Platforms: Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, power apps, and Functions. Additionally, in-depth understanding and implementation of API management such as APIGEE. Big Data Technologies: Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals: Expertise in ETL/ELT processe