Data Engineer

Full Stack Java Developer | Skilled in Java, Spring Boot, React.js, and Oracle DB.Employment Type: Full-time (Contract or Contract-to-Hire)Experience Level: Mid-level (3–4 years)Eligibility: Open to U.S. Citizens and Green Card holders only. We do not offer visa sponsorship.Aaratech Inc is a specialized IT consulting and staffing company that places elite engineering talent into high-impact roles at leading U.S. organizations. We focus on modern technologies across clouddata, and software disciplines. Our client engagements offer long-term stability, competitive compensation, and the opportunity to work on cutting-edge data projects.We are seeking a Data Engineer with 3–4 years of experience to join a client-facing role focused on building and maintaining scalable data pipelines, robust data models, and modern data warehousing solutions. You'll work with a variety of tools and frameworks, including Apache SparkSnowflake, and Python, to deliver clean, reliable, and timely data for advanced analytics and reporting.ResponsibilitiesDesign and develop scalable Data Pipelines to support batch and real-time processingImplement efficient Extract, Transform, Load (ETL) processes using tools like Apache Spark and dbtDevelop and optimize queries using SQL for data analysis and warehousingBuild and maintain Data Warehousing solutions using platforms like Snowflake or BigQueryCollaborate with business and technical teams to gather requirements and create accurate Data ModelsWrite reusable and maintainable code in Python for data ingestion, processing, and automationEnsure end-to-end Data Processing integrity, scalability, and performanceFollow best practices for data governancesecurity, and complianceRequired Skills & Experience3–4 years of experience in Data Engineering or a similar roleStrong proficiency in SQL and PythonExperience with Extract, Transform, Load (ETL) frameworks and building data pipelinesSolid understanding of Data Warehousing concepts and architectureHands-on experience with SnowflakeApache Spark, or similar big data technologiesProven experience in Data Modeling and data schema designExposure to Data Processing frameworks and performance optimization techniquesFamiliarity with cloud platforms like AWSGCP, or AzureNice to HaveExperience with streaming data pipelines (e.g., Kafka, Kinesis)Exposure to CI/CD practices in data developmentPrior work in consulting or multi-client environmentsUnderstanding of data quality frameworks and monitoring strategiesSeniority LevelAssociateEmployment TypeFull-timeJob FunctionInformation TechnologySoftware Development, IT System Custom Software Development, and Hospitals and Health CareJ-18808-Ljbffr