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Metro location, known consulting brand, and a generalist Data Engineer title increase applicant competition.
Core data engineering skills transfer across industries, though banking/financial domain experience moderately matters.
Explicit 7+ years requirement plus mandatory Oracle PL/SQL and Python experience yields high shortlisting strictness.
Coordinate requirement capture with Business Analysts for new and existing modules.
Design and implement PL/SQL packages, procedures, and data-quality rules for reconciliation, accruals, and workflow automation.
Develop scalable data pipelines and ETL workflows using Python, Apache Airflow, and PySpark; maintain source code in Git and participate in agile delivery processes.
Minimum 7 years of IT experience with proven expertise in Oracle PL/SQL and Python development.
Bachelor's degree in Computer Science, Engineering, or a related field (B.Tech/BE/B.Sc.).
Mandatory technical skills: Oracle PL/SQL, Python (Airflow, PySpark).
Not explicitly mentioned: Notice period requirements.
Experienced in enterprise data engineering primarily using Oracle PL/SQL and Python for financial services or related industries.
Capable of working in agile teams with direct involvement in sprint planning and release coordination.
Skilled in developing both backend data pipelines and low-code UI components using Oracle APEX as a plus.