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Tier-1 brand, metro role, mid-level data engineering title, and 4+ years expectation increase applicant competition.
ETL, Python, and SQL skills are broadly transferable across industries.
Mandatory 4+ years and required SSIS/Informatica/Python/SQL skills increase screening strictness.
Lead design, development, and modernization of enterprise-scale ETL/ELT data integration pipelines using SSIS, Informatica PowerCenter, Informatica IDMC/IICS, and Python.
Manage complex technical challenges, provide guidance to junior staff, and ensure compliance with data governance and regulatory policies.
Support production deployments, incident management, performance tuning, and collaboration with cross-functional teams to deliver scalable data solutions.
Minimum 4+ years of software engineering experience or equivalent.
Proficiency in SSIS, Informatica PowerCenter, Informatica IDMC/IICS, SQL Server, Oracle, and Python (including Pandas, PySpark).
Experience with enterprise scheduling and orchestration tools such as Control-M, Autosys, SQL Agent, or Informatica Scheduler.
Work Experience Required: At least 4+ years in software engineering or equivalent; notice period not explicitly mentioned.
Experienced data engineer skilled in ETL/ELT pipeline development and legacy-to-modern migration within on-premises and cloud environments.
Comfortable leading moderately complex projects with a focus on coding, debugging, testing, and documentation in data integration domains.
Able to collaborate effectively with business analysts, architects, and stakeholders to translate business needs into technical solutions while ensuring compliance and operational excellence.