Big Data Engineer (Back fill) @ Remote, Richmond VA (C2C conract)
Maintec Technologies
REQUIREMENT Data Engineer (Back fill) Remote / Richmond VA Long term contract Need Ex-Capital One consultants is MUST Fast Path -Data Engineer(Backfill Role)
Main Skillset: Big Data engineering, Spark, Hadoop, Hive, HDFS, Kafka, AWS EMR and S3, ETL pipelines, distributed systems, NoSQL databases, and strong Java/Scala programming.
What Manager likes a true Big Data engineer who understands the internals of Spark and Hadoop, can optimize large pipelines, and has strong AWS and Java/Scala skills to deliver production-ready systems at scale.
Location, Richmond, or Remote is fine.
Job Description:
We are seeking a highly skilled Big Data Engineer with deep expertise in building, optimizing, and scaling data pipelines across distributed systems. The ideal candidate has hands-on experience with Spark , Hadoop , Hive , Kafka , AWS EMR , and S3 , along with strong programming skills in Java or Scala . This role requires someone who not only builds data workflows but also understands the internals of big data frameworks to deliver high-performance, production-ready solutions.
Key Responsibilities:
Thanks & Regards,
John Stanley - Sr. BDM / Delivery Manager
Maintec Technologies Inc
8801 Fast Park Drive, Ste. 301, Raleigh, NC 27617
Mobile: View phone number on click.appcast.io / View phone number on click.appcast.io
Email: View email address on click.appcast.io; |
LinkedIn :
Bangalore | Chennai | Hyderabad | Pune | Noida | USA
Main Skillset: Big Data engineering, Spark, Hadoop, Hive, HDFS, Kafka, AWS EMR and S3, ETL pipelines, distributed systems, NoSQL databases, and strong Java/Scala programming.
What Manager likes a true Big Data engineer who understands the internals of Spark and Hadoop, can optimize large pipelines, and has strong AWS and Java/Scala skills to deliver production-ready systems at scale.
Location, Richmond, or Remote is fine.
Job Description:
We are seeking a highly skilled Big Data Engineer with deep expertise in building, optimizing, and scaling data pipelines across distributed systems. The ideal candidate has hands-on experience with Spark , Hadoop , Hive , Kafka , AWS EMR , and S3 , along with strong programming skills in Java or Scala . This role requires someone who not only builds data workflows but also understands the internals of big data frameworks to deliver high-performance, production-ready solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale ETL pipelines using Spark , Hive , and Hadoop .
- Implement and manage distributed data processing systems on AWS EMR , S3 , and related cloud data services.
- Work with Kafka and streaming data frameworks to handle real-time data ingestion and processing.
- Optimize performance of Spark jobs and Hadoop clusters to improve reliability and throughput.
- Collaborate with data scientists, analysts, and product teams to deliver scalable and maintainable data solutions.
- Develop data models and integrate structured and unstructured data using NoSQL databases.
- Ensure best practices for data quality, governance, and security in the data engineering lifecycle.
- Strong programming skills in Java and/or Scala .
- Deep understanding of Apache Spark internals , Hadoop architecture , and distributed computing concepts.
- Hands-on experience with AWS services - EMR, S3, Lambda, and related tools.
- Proficiency with Hive , HDFS , Kafka , and ETL frameworks .
- Experience working with NoSQL databases (e.g., HBase, Cassandra, DynamoDB).
- Proven ability to design, deploy, and optimize large-scale production data systems.
- Experience with Airflow or similar workflow orchestration tools.
- Familiarity with CI/CD pipelines and data infrastructure automation.
- Strong problem-solving skills and ability to tune large distributed systems for performance.
Thanks & Regards,
John Stanley - Sr. BDM / Delivery Manager
Maintec Technologies Inc
8801 Fast Park Drive, Ste. 301, Raleigh, NC 27617
Mobile: View phone number on click.appcast.io / View phone number on click.appcast.io
Email: View email address on click.appcast.io; |
LinkedIn :
Bangalore | Chennai | Hyderabad | Pune | Noida | USA
Vacancy posted 4 days ago
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