Saransh Inc
Senior ETL Developer – DataStage & AWS Data Engineering
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ETL Developer with a contract length of "unknown" and a pay rate of "$X per hour". Key skills include AWS Glue, DataStage, PySpark, and SQL. Experience in Finance/Regulatory reporting is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, Ohio Metropolitan Area
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🧠 - Skills detailed
#SQL Queries #Snowflake #IAM (Identity and Access Management) #Cloud #Spark (Apache Spark) #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Lake #Data Engineering #Scala #Triggers #Automation #PySpark #Monitoring #DataStage #Oracle #AWS Lambda #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #AWS Glue #SQL (Structured Query Language) #AWS (Amazon Web Services) #Python
Role description
Role Summary
Seeking an experienced ETL Developer to modernize and support enterprise ETL pipelines across IBM DataStage and AWS. The role involves building scalable AWS data pipelines, enhancing legacy ETLs, and supporting Finance/Regulatory reporting workloads.
Key Responsibilities
• Develop scalable ETL pipelines using AWS Glue, PySpark, Python.
• Enhance existing IBM DataStage jobs and build new Python-based ETLs.
• Transform data into Parquet/Avro and manage S3 Bronze–Silver–Gold data lake.
• Build AWS Lambda scripts for automation, validation, and event-driven triggers.
• Implement CloudWatch dashboards, monitoring, and alerts.
• Optimize Spark jobs and SQL queries for performance and cost.
• Troubleshoot upstream/downstream failures and provide production support.
• Support ETL across Dev, QA, Stage, Prod environments.
• Maintain IBM InfoSphere Information Server (IIS) platform health.
• Promote DSX/ISX across environments and support upgrades/patching.
• Manage access workflows and coordinate with IAM teams.
Required Skills
• Strong SQL, Snowflake, and Oracle experience.
• Hands-on: DataStage, AWS Glue, S3, Lambda, CloudWatch, PySpark, Python.
• ETL performance tuning & parallelism expertise.
• Experience supporting Finance/Regulatory Reporting.
• Production support, monitoring, and incident management experience.
Role Summary
Seeking an experienced ETL Developer to modernize and support enterprise ETL pipelines across IBM DataStage and AWS. The role involves building scalable AWS data pipelines, enhancing legacy ETLs, and supporting Finance/Regulatory reporting workloads.
Key Responsibilities
• Develop scalable ETL pipelines using AWS Glue, PySpark, Python.
• Enhance existing IBM DataStage jobs and build new Python-based ETLs.
• Transform data into Parquet/Avro and manage S3 Bronze–Silver–Gold data lake.
• Build AWS Lambda scripts for automation, validation, and event-driven triggers.
• Implement CloudWatch dashboards, monitoring, and alerts.
• Optimize Spark jobs and SQL queries for performance and cost.
• Troubleshoot upstream/downstream failures and provide production support.
• Support ETL across Dev, QA, Stage, Prod environments.
• Maintain IBM InfoSphere Information Server (IIS) platform health.
• Promote DSX/ISX across environments and support upgrades/patching.
• Manage access workflows and coordinate with IAM teams.
Required Skills
• Strong SQL, Snowflake, and Oracle experience.
• Hands-on: DataStage, AWS Glue, S3, Lambda, CloudWatch, PySpark, Python.
• ETL performance tuning & parallelism expertise.
• Experience supporting Finance/Regulatory Reporting.
• Production support, monitoring, and incident management experience.
