Senior Data Engineer – Real-Time Pipelines & Analytics

Saransh Inc; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Saransh Inc is seeking a Data Engineer in Charlotte, NC, onsite from Day 1. The role requires 10+ years of experience in data engineering, with strong Python/Java and hands-on streaming experience.

You will optimize data pipelines, build S3-backed data services, and create analytical datasets, while maintaining data quality and efficient storage. Responsibilities include developing housekeeping scripts and integrating with Oracle and NetApp/object stores.

Qualifications

• Minimum 10+ years in data engineering or equivalent.
• Proficiency in Python/Java and building data pipelines.
• Experience with Spark/Flink and distributed data architectures.
• Hands-on with real-time streaming, REST APIs, and data/DB connectors.
• Experience with Oracle databases and AWS S3 for data storage.

Responsibilities

• Optimize data pipelines reading from Kinesis and writing to Oracle with improved schema/data-type handling and data-quality alerts.
• Build services to read/write data to NetApp object store using the S3 API.
• Create analytical datasets in Parquet or Iceberg formats.
• Develop housekeeping scripts for cleanup, archiving, and compression of logs and object-store files.

Skills

Python

Java

Data engineering

Spark

Flink

Real-time streaming

REST APIs

Oracle

Amazon S3

Distributed systems

Tools

Kinesis

Oracle DB

S3 API

NetApp S3

Iceberg (nice-to-have)

Job description

Saransh Inc is seeking a Data Engineer in Charlotte, NC, onsite from Day 1. The role requires 10+ years of experience in data engineering, with strong Python/Java and hands-on streaming experience.

You will optimize data pipelines, build S3-backed data services, and create analytical datasets, while maintaining data quality and efficient storage. Responsibilities include developing housekeeping scripts and integrating with Oracle and NetApp/object stores.