#Hiring for Data Engineer – Netezza, DataStage, Snowflake & Databricks |Remote

AI overview

Designing, building, and supporting scalable data pipelines using technologies like IBM Netezza, DataStage, Snowflake, and Databricks for cloud and legacy platforms.

Job Title: Data Engineer – Netezza, DataStage, Snowflake & Databricks (2 positions)

Location: Remote

Duration: 6+ Months

Experience: 10+ years

Employment Type: Contract

Job Summary

We are seeking an experienced Data Engineer with strong expertise in IBM Netezza and IBM DataStage, along with hands-on or working experience in Snowflake and Databricks. The role involves designing, building, and supporting scalable data pipelines across legacy and modern cloud data platforms.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using IBM DataStage

  • Work extensively with IBM Netezza for data modeling, transformations, and performance tuning

  • Build and support data pipelines in Snowflake and Databricks

  • Develop complex SQL queries for large-scale data processing and validation

  • Support data ingestion, transformation, and reconciliation processes

  • Monitor and troubleshoot production data pipelines

  • Collaborate with BI, analytics, and cloud teams to support reporting and analytics use cases

  • Document data flows, transformations, and technical specifications

Required Skills & Qualifications

Must-Have

  • 5+ years of experience as a Data Engineer / ETL Developer

  • Strong hands-on experience with IBM DataStage

  • Strong experience working with IBM Netezza

  • Advanced SQL skills

Preferred

  • Experience with Snowflake and/or Databricks

  • Exposure to cloud platforms (AWS / Azure / GCP)

  • Knowledge of Python or Shell scripting

  • Experience in data migration or modernization projects

All your information will be kept confidential according to EEO guidelines.

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