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Tier-1 brand, metro location, and broad mid-senior data skillset create high competition.
Role blends generic data engineering skills with FP&A finance context, moderately limiting cross-industry fit.
Explicit 7+ years and extensive mandatory technical stack make shortlisting highly strict.
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Design, develop, and optimize Oracle database solutions using SQL, PL/SQL, and Oracle Cloud Infrastructure.
Create and maintain ETL workflows, data pipelines, and Data Warehouse solutions to support large-scale data processing.
Act as liaison between business users and technical teams by gathering requirements, preparing FRDs/TDDs, and guiding development to translate business needs into technical solutions.
7+ years of progressive software development experience.
Strong proficiency in Oracle SQL and PL/SQL, Oracle Cloud services, Python programming, ETL processes, and Data Warehouse design.
Experience with Big Data technologies such as Hadoop and Spark.
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Experienced in both backend database development and client-facing business analysis roles.
Skilled in integrating technical solutions with business requirements, particularly in financial or enterprise environments.
Familiarity with modern data architectures, cloud platforms, and hands-on development including Python, ETL, and Big Data frameworks.