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Senior Data Engineer
Senior Data EngineerNoblesoft Technologies • Atlanta, Georgia, USA
Senior Data Engineer

Senior Data Engineer

Noblesoft Technologies • Atlanta, Georgia, USA
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  • [job_card.full_time]
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Job Title : Senior Data Engineer

Location : Atlanta GA ONSITE

Job Description :

The Marketing Services (MS) Technology team is looking for a Senior Data Engineer who is passionate about data and analytics highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery.

The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures processes stores and visualizes data.

Role-

In this role you will :

  • Design & Develop batch and streaming solutions using various Big Data technologies
  • Work closely with architect to design secure and scalable
  • Be responsible for assessing technologies and approaches for ingestion transformation and storage
  • Develop software utilizing open source technologies to interface with distributed and relational data sources
  • Work closely with team members from across Mastercard to identify functional and system requirements

All About you-

The ideal candidate for this position should :

  • Hands-on experience with Big Data and analytics technologies including Hadoop Spark and related frameworks.
  • Programming expertise in languages such as Java Scala or Python with an emphasis on developing data processing and transformation logic.
  • Real-time and batch data processing skills with experience in building robust data pipelines for real-time or near-real-time ingestion.
  • Proficiency in data modeling and schema design for relational and non-relational databases supporting high data volume and optimized query performance.
  • Exposure to cloud technologies with hands-on experience in Databricks and Cloudera including knowledge of cloud architecture data security and scalability best practices.
  • Experience in optimizing and managing ETL workflows using scheduling monitoring and debugging tools.
  • Strong problem-solving abilities with a mindset for automation and efficiency improvements.
  • Excellent communication and collaboration skills to work effectively across technical and business teams facilitating knowledge sharing and alignment on data engineering best practices.
  • Proven track record of delivering software projects and willingness to roll up sleeves to get the job done
  • Have excellent oral and written communication
  • Be familiar with Agile / Scrum methodologies
  • Have the ability to manage multiple priorities simultaneously
  • Have a BS / BA degree in Computer Science Information Systems or related field
  • Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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