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Aaratech

Data Engineer

Aaratech, Los Angeles, California, United States, 90079

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Overview

Data Engineer role at Aaratech Inc. We are a specialized IT consulting and staffing company placing elite engineering talent in high-impact roles at leading U.S. organizations. Focus areas include cloud, data, and software disciplines. Our client engagements offer long-term stability and the opportunity to work on cutting-edge data projects. Position: Full Stack Java Developer | Skilled in Java, Spring Boot, React.js, and Oracle DB Location:

United States (Remote / On-site based on client needs) Employment Type:

Full-time (Contract or Contract-to-Hire) Experience Level:

Mid-level (34 years) Eligibility:

Open to U.S. Citizens and Green Card holders only. We do not offer visa sponsorship. Base pay range is $60,000.00/yr - $80,000.00/yr. Actual pay is based on skills and experience talk with your recruiter to learn more. Role and Responsibilities

Design and develop scalable Data Pipelines to support batch and real-time processing Implement efficient Extract, Transform, Load (ETL) processes using tools like Apache Spark and dbt Develop and optimize SQL queries for data analysis and warehousing Build and maintain Data Warehousing solutions using platforms like Snowflake or BigQuery Collaborate with business and technical teams to gather requirements and create accurate Data Models Write reusable and maintainable code in Python for data ingestion, processing, and automation Ensure end-to-end Data Processing integrity, scalability, and performance Follow best practices for data governance, security, and compliance Required Skills & Experience

34 years of experience in Data Engineering or a similar role Strong proficiency in SQL and Python Experience with ETL frameworks and building data pipelines Solid understanding of Data Warehousing concepts and architecture Hands-on experience with Snowflake, Apache Spark, or similar big data technologies Proven experience in Data Modeling and data schema design Exposure to Data Processing frameworks and performance optimization techniques Familiarity with cloud platforms like AWS, GCP, or Azure Nice to Have

Experience with streaming data pipelines (e.g., Kafka, Kinesis) Exposure to CI/CD practices in data development Prior work in consulting or multi-client environments Understanding of data quality frameworks and monitoring strategies Seniority level

Associate Employment type

Full-time Job function

Information Technology Industries

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