Position: Senior Data Engineer
Location: Atlanta GA***Day 1 Onsite***
Duration: 1 Years
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
Position: Senior Data Engineer Location: Atlanta GA***Day 1 Onsite*** Duration: 1 Years 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 solutio...
Position: Senior Data Engineer
Location: Atlanta GA***Day 1 Onsite***
Duration: 1 Years
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
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