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
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...
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
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