ETL Datastage Developer

Overview

On Site
Depends on Experience
Full Time
No Travel Required

Skills

IBM InfoSphere DataStage
IBM
Acceptance Testing
Auditing
BMC Control-M
Big Data
Business Analysis
CA Workload Automation AE
Cloud Computing
Communication
Data Integration
Data Mapping
Data Migration
Data Quality
Database
Datastage
Documentation
Extract
Transform
Load
IT Management
Job Scheduling
Legacy Systems
Management
Mentorship
Offshoring
PL/SQL
Performance Tuning
Production Support
Profit And Loss
ROOT
Regression Testing
Root Cause Analysis
SAP BASIS
SQL
Sarbanes-Oxley
Scripting
Shell
Snow Flake Schema
Specification Gathering
Technical Drafting
Test Cases
Unix
Workflow

Job Details

Key Responsibilities:

  • Lead design, development, and delivery of ETL workflows using IBM Infosphere DataStage, Snowflake, and Big Data tools.
  • Perform end-to-end data integration including data migration from legacy systems to cloud-based platforms like Snowflake.
  • Develop optimized SQL/PLSQL procedures and UNIX shell scripts to support ETL automation and job scheduling (using Control-M, Autosys).
  • Work closely with business stakeholders and analysts to translate requirements into technical specifications and data mapping documents.
  • Lead production support, troubleshoot job failures, conduct root cause analysis, and implement data quality checks and enhancements.
  • Manage UAT, QA, and regression testing phases including test case preparation, execution, and defect resolution.
  • Provide technical leadership and mentoring to offshore/onshore team members (6+ direct reports).
  • Handle performance tuning of DataStage jobs, SQL queries, and database operations.
  • Maintain documentation, participate in audits, and support SOX compliance initiatives.

Detailed Job Description

  • Design, Develop, test, and maintain ETL batch processes using IBM DataStage
  • Strong SQL/Database concepts, with relevant experience on PL/SQL
  • Excellent oral and written communication skills, to be able to work with business users and cross functional teams
  • Troubleshooting- Identify and resolve complex data related issues including conducting Root cause analysis
  • Data Analysis- Analyze business requirements and translate them into technical designs
  • Experience in establishing criteria for data use/test cases.
  • Documentation- Create and maintain technical design documents for data processes and workflow
  • Collaboration- Work with cross-functional teams across US and India locations
  • Optimization- Fine tune SQL queries and DataStage jobs for improved performance and reliability
  • Strong business analysis and requirement definition background in Data Integration (ETL)

eGrove Systems Corporation is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment regardless of race, religion, color, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About eGrove Systems Corporation