Why This Role Stands Out
As an ETL Lead, you'll architect and deliver robust data integration solutions, leveraging your expertise in leading ETL tools and driving performance optimization in a hybrid environment. This role offers significant growth potential and the chance to mentor a team, making it ideal for seasoned ETL professionals with strong problem-solving skills and a passion for impactful data architecture. Seize this opportunity to advance your career and shape critical data initiatives!
Quick Overview
Job Description
Must Have Technical/Functional Skills:
- ETL Design and Architecture ,Performance optimization.
- Problem solving and debugging skills , Leadership and mentorship, ETL Tools (Informatics , IICS , Datastage).
- Database Core concepts - SQL,PL/SQL , Unix-Shell, Python, Communication and collaboration
Roles & Responsibilities:
ETL Architecture & Solution Design:
- Lead the design and implementation of scalable ETL solutions for enterprise data warehouse and data integration initiatives.
- Define ETL architecture, data movement strategies, framework standards, and best practices.
- Develop source-to-target mappings, technical design documents, and implementation plans.
- Ensure adherence to enterprise architecture, security, governance, and data quality standards.
ETL Development & Delivery:
- Design, develop, and maintain ETL processes using Informatica PowerCenter, IICS, and DataStage.
- Develop reusable ETL frameworks, utilities, and accelerators to improve delivery efficiency.
- Work closely with data architects, business analysts, and application teams to understand requirements and translate them into technical solutions.
- Lead end-to-end ETL project delivery including development, testing, deployment, and production support.
Performance Optimization:
- Analyze and tune ETL workflows, mappings, sessions, and SQL queries to meet SLAs.
- Optimize database performance through indexing strategies, partitioning, and query tuning.
- Identify bottlenecks in ETL pipelines and implement performance improvement measures.
- Drive efficient handling of large-volume data loads, incremental processing, and parallel execution strategies.
Problem Solving & Debugging
- Troubleshoot complex ETL failures, data quality issues, and production incidents.
- Perform root cause analysis and implement permanent corrective actions.
- Support critical production deployments and lead issue resolution during incident management.
- Establish monitoring, alerting, and recovery mechanisms for ETL processes.
Leadership & Team Management:
- Lead a team of ETL developers and provide technical direction across multiple projects.
- Conduct code reviews, design reviews, and ensure adherence to development standards.
- Mentor junior team members and facilitate technical skill development.
- Participate in effort estimation, sprint planning, resource allocation, and project tracking.
- Drive continuous improvement initiative s and adoption of industry best practices.
Database & Programming:
- Develop complex SQL queries, PL/SQL procedures, functions, packages, and performance tuning solutions.
- Create automation scripts using Shell Scripting and Python.
- Support data validation, reconciliation, and data quality framework implementations.
Communication & Collaboration:
- Partner with business stakeholders, architects, project managers, and offshore/onshore teams.
- Present technical solutions, risks, and recommendations to leadership and business users.
- Facilitate requirement discussions, design workshops, and technical reviews.
- Ensure effective communication across cross-functional teams and project stakeholders.
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