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New York Technology Partners Linkedin · Posted 3d ago

Senior Associate Data Engineer

Knoxville

Linkedin
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Indexed description

Senior Associate Data Engineer

We are seeking a Senior Associate Data Engineer to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have strong experience with Big Data technologies, data ingestion and transformation, real-time pipelines, cloud platforms, and distributed data processing. This role will work closely with stakeholders to translate business requirements into robust technical solutions.

Responsibilities

  • Design and implement scalable data ingestion, integration, and transformation pipelines.
  • Build batch and real-time data pipelines using distributed data processing and messaging technologies.
  • Develop solutions for data analytics, search, aggregation, and large-scale data processing.
  • Work with cloud-based data platforms and services, primarily AWS.
  • Optimize data pipelines and applications for performance, reliability, and scalability.
  • Work with NoSQL, MPP, and relational database technologies.
  • Participate in technical design discussions and independently drive data engineering solutions.
  • Apply data governance, security, lineage, and cataloging best practices where applicable.

Qualifications

  • 5.5+ years of overall experience, including 4+ years working with Big Data technologies.
  • Strong hands-on experience with Hadoop ecosystem technologies such as Spark, Kafka, Hive, NiFi, Airflow, Flink, or similar tools.
  • Experience building both batch and real-time data pipelines.
  • Strong programming skills in Java, Scala, or Python, with Java preferred.
  • Experience with NoSQL and MPP platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQL DW, or BigQuery.
  • Hands-on experience with AWS data and cloud services.
  • Experience with relational databases such as Oracle, MySQL, SQL Server, or PostgreSQL.
  • Understanding of ETL tools, data governance, distributed messaging, and data platform architectures.
  • Strong knowledge of data pipeline performance tuning and optimization.
  • Bachelor’s degree or equivalent combination of education and experience.


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