Senior Development Lead

Role - Senior Development Lead(ETL development, SQL, AWS) Location - Secaucus, NJ(Remote) Buy Rate - $70-$72/hr Job Summary: We are seeking an experienced ETL Lead to design, develop, and manage enterprise-scale data integration solutions. The ideal candidate will lead ETL development initiatives, mentor team members, collaborate with business and data stakeholders, and ensure high-quality data movement across multiple source and target systems. The ETL Lead will play a critical role in driving data modernization, data warehousing, reporting, analytics, and cloud migration initiatives. Responsibilities: Lead the design, development, testing, deployment, and support of ETL/ELT solutions.Analyze business requirements and translate them into scalable data integration architectures.Develop and optimize ETL workflows, mappings, transformations, and data pipelines.Ensure data quality, integrity, governance, and compliance across data platforms.Collaborate with business analysts, data architects, data engineers, and application teams.Perform root cause analysis and resolve complex production issues.Drive ETL performance tuning and optimization initiatives.Establish coding standards, best practices, and development guidelines.Lead code reviews and mentor junior ETL developers.Support data migration, modernization, and cloud transformation projects.Manage project deliverables, timelines, and stakeholder communications.Implement CI/CD and DevOps practices for ETL deployment and monitoring.Create and maintain technical documentation, data flow diagrams, and operational procedures. Skills: Strong experience in ETL development and leadership.Expertise in one or more ETL tools: Informatica PowerCenter / IICS Talend SSIS IBM DataStage Ab Initio AWS Glue Matillion Strong SQL and database programming skills.Experience with relational databases: Oracle SQL Server PostgreSQL MySQL Knowledge of Data Warehousing and Dimensional Modeling concepts.Experience working with large-scale data integration and migration projects.Strong understanding of data quality and data governance principles.Experience with scheduling and orchestration tools such as Control-M, Airflow, or Autosys.Familiarity with source control tools like Git, Azure DevOps, or Bitbucket.Knowledge of cloud platforms: Azure AWS Google Cloud Platform