PL/SQL Developer
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Job Description
We are seeking a Senior Data Developer to join our dynamic team. The ideal candidate will have strong experience in Oracle PL/SQL, Python, and data warehousing and analytics and a proven ability to deliver actionable insights, automate data processes, and resolve complex data issues to support business decisions.
Responsibilities:
• Analyze complex financial data to identify trends, patterns, and anomalies for finance, risk, and operations.
• Write and optimize complex SQL and Oracle PL/SQL, including stored procedures, triggers, and functions.
• Design and implement reporting solutions and visualizations using SQL and Python.
• Automate manual tasks, data reconciliations, and data quality checks with Python.
• Develop analytical reports and dashboards based on business requirements.
• Resolve complex data issues to ensure data integrity and accuracy across systems.
• Collaborate with technology and business partners to identify strategic solutions.
• Communicate technical solutions to technical and non-technical stakeholders.
• Contribute to scope, objectives, and enhancements during development and implementation phases for high-impact projects.
• Manage multiple workstreams, drive issue resolution, and support technology solution design.
• Review processes to identify inefficiencies and propose automation solutions.
• Author architectural proposals, technical solutions, and executive-ready communications.
• Serve as a subject matter expert to senior stakeholders and team members. Required Skills &
Qualifications:
• 8–10 years of hands-on experience as a Senior Data Developer or Data Analytics Lead.
• Expertise in Oracle PL/SQL, including complex query design and optimization.
• Proficiency in Python for analytics and automation.
• Strong understanding of relational database concepts and data warehousing.
• Experience with data analysis, data profiling, and data quality practices.
• Experience mentoring or leading data analysts in a cross-functional setting.
• Strong interpersonal, consulting, and communication skills.
• Proven ability to manage multiple projects and meet regulatory deadlines.
• Awareness of AI/ML tools and techniques such as machine learning, NLP, and predictive modeling. Preferred
Skills:
• Practical experience applying AI/ML in analytics projects.
• Exposure to Tableau, Power BI, or similar visualization tools.
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