Lead Data Engineer /Big data

System Soft Technologies
System Soft Technologies

  • US
  • Post Date: 25 August 2020
  • Views 30
Job Overview

ldquoSystem Soft Technologies is widely recognized for its professionalism, strong corporate morals, customer satisfaction, and effective business practices. We provide a full spectrum of business and IT services and solutions, including custom application development, enterprise solutions, systems integration, mobility solutions, and business information management. System Soft Technologies combines business domain knowledge with industry-specific practices and methodologies to offer unique solutions, and enable clients to compete with global standards. We find a client-centric approach and a passion for excellence is key in distinguishing ourselves from our competition and in accompanying you on your journey.rdquo Job Description for Data Engineer Big Data Evaluate new technologies and participates in decision-making, accounting for several factors such as viability within clientrsquos technical environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies. Lead or set strategy for testing and debugging at the platform or enterprise level. In complex and unstructured situations, serve as an expert resource to create and improve standards and best practices to ensure high-performance, scalable, repeatable, and secure deliverables Lead the design, lifecycle management, and total cost of ownership of services. Participate in planning services that have enterprise impact. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Gather information, data, and input from a wide variety of sources identify additional resources when appropriate, engage with appropriate stakeholders, and conduct in-depth analysis of information. Develop plans and schedules, estimate technical pre-requisites for project requirements, and define milestones and deliverables. Monitor workflow and risks play a leadership role in mitigating risks and removing obstacles. Lead and participate in complex construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met. Qualifications for Data EngineerBig Data Deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop Built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting Hands on experience in MapR, Cloudera, Hortonworks andor cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions Ideal candidates can email resumes at or call me atext 119 Best Regards, Anuja Kotha System Soft Technologies Six Concourse Parkway, Ste2950 Atlanta, GA -30328 o x119 e mailto www.sstech.us httpwww.sstech.us

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