Data Engineer ( Hadoop, Spark, Kafka) - 10+ yrs - Onsite Interview

Role: Data Engineer (Hadoop)

Exp: 10+ yrs

Location: Remote (travel required to Knoxville, TN) - EST/CST Only

Interview: Final Round In-Person Must in any of the below locations;

Dallas/Irving, TX | Houston, TX | Chicago, IL | Minneapolis, MN | Birmingham, MI | Atlanta, GA | Miami, FL | Arlington, VA | New York, NY | Boston, MA

Description:

• Experience in Big Data engineering, data processing, and analytics.
• Strong proficiency in Big Data technologies such as Hadoop, Spark, Kafka, Flink, and Hive.
• Experience with cloud-based data platforms such as AWS, Google Cloud Platform, or Azure.
• Proficiency in programming languages such as Java, Scala, or Python for data processing and analytics.
• Hands-on experience with data modeling, ETL processes, and data warehousing.
• Strong understanding of distributed computing, data streaming, and real-time processing.
• Experience with SQL, NoSQL databases, and data lakes.
• Knowledge of data governance, security, and compliance best practices.
• Strong problem-solving and analytical skills with a focus on delivering high-quality data solutions.

Your Impact:

• Design, develop, and maintain Big Data pipelines using technologies such as Hadoop, Spark, Kafka, and Flink.
• Implement data processing and transformation workflows to support analytics, reporting, and machine learning applications.
• Optimize data storage, retrieval, and processing for performance and scalability.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Ensure data quality, security, and compliance with industry standards and best practices.
• Automate data workflows and monitoring processes to improve efficiency and reliability.
• Stay updated with emerging Big Data technologies and best practices to drive innovation.

Regards,

Prakash

prakash.v(@)smg(-)llc(.)us