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Data Engineer

  • Data Engineer job type Posted on: Oct 22, 2026
  • Data Engineer experience level Saransh Inc
  • Data Engineer employment type Charlotte, North Carolina
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Data Engineer

Location: Charlotte, NC - Onsite

Experience: 10+

Day 1 onsite

Key responsibilities for the Data Engineer:

  • Optimize data pipelines that read from Kinesis and Write into Oracle improve exception handling for schema/data type mismatches and implement alerting for data quality issues.
  • Build services to read/write data to NetApp object store using the S3 API.
  • Create analytical datasets in Parquet or Iceberg format.
  • Develop housekeeping scripts for cleanup, archiving, and compression of logs, Object store files, etc.

Core skill requirements:

  • Strong Python/Java and data engineering expertise.
  • Experience building and deploying data pipelines using frameworks like Spark, Flink and understanding of distributed data systems.
  • Hands-on experience with real-time streaming architectures, REST APIs, and database connectors.
  • Proficient with and Relational Databases (e.g. Oracle).
  • Experience working with Amazon S3 APIs for data storage and integration.

Preferred (nice-to-have):

  • Experience with Apache Iceberg.

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

4995-2279

Employment:

Full-time

City:

Charlotte

Job Origin:

CIEPAL_ORGANIC_FEED

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Data Engineer

Location: Charlotte, NC - Onsite

Experience: 10+

Day 1 onsite

Key responsibilities for the Data Engineer:

  • Optimize data pipelines that read from Kinesis and Write into Oracle improve exception handling for schema/data type mismatches and implement alerting for data quality issues.
  • Build services to read/write data to NetApp object store using the S3 API.
  • Create analytical datasets in Parquet or Iceberg format.
  • Develop housekeeping scripts for cleanup, archiving, and compression of logs, Object store files, etc.

Core skill requirements:

  • Strong Python/Java and data engineering expertise.
  • Experience building and deploying data pipelines using frameworks like Spark, Flink and understanding of distributed data systems.
  • Hands-on experience with real-time streaming architectures, REST APIs, and database connectors.
  • Proficient with and Relational Databases (e.g. Oracle).
  • Experience working with Amazon S3 APIs for data storage and integration.

Preferred (nice-to-have):

  • Experience with Apache Iceberg.

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