Job Description
Hogan Core Banking Specialist
beBee Careers • New Delhi, Delhi • via BeBee
17 hours ago
Full–time
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Job description
Job Title: Hogan Developer
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Overview
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We are seeking skilled professionals with expertise in the Hogan core banking platform, specifically in ILP (Loans), IDP (Deposits), and ODS (Online Delivery Systems) modules. The ideal candidate will have strong hands-on experience with COBOL, JCL, DB2, VSAM, and a proven ability to maintain, enhance, and integrate Hogan modules.
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Key Responsibilities
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• Maintain and enhance existing Hogan modules">
• Integrate new features and functionalities">
• Develop and implement efficient solutions">
• Collaborate with cross-functional teams">
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Requirements
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• Bachelor's or Master's degree in Computer Science/IT">
• Strong understanding of banking systems: loans, deposits, online delivery">
• Excellent communication and client interaction skills">
• Experience working in onsite-offshore or global delivery models">
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Preferred Qualifications
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• Professional certifications in relevant technologies">
• Proven track record of delivering high-quality projects">
• Familiarity with agile development methodologies">
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About the Role
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This is an exciting opportunity for skilled Hogan developers to work on challenging projects and contribute to the growth and success of our organization. If you have a passion for technology and a desire to make a meaningful impact, we encourage you to apply.
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Dataplatr Inc.
Data Analytics Solution Architect – Banking Domain
Dataplatr Inc. • New Delhi, Delhi • via BeBee
17 hours ago
Full–time
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Job description
About the Role: We are seeking a seasoned Data Analytics Solution Architect with deep experience in the banking and financial services industry to lead the design and implementation of cutting-edge data analytics solutions. The ideal candidate will bring a strong blend of data architecture expertise, business acumen in banking, and hands-on experience with modern analytics platforms and cloud technologies.
Our ideal candidate will have a proven track record designing large-scale data platforms on-premises or cloud and will possess deep knowledge of SQL, Spark, Python, Git, ETL/ELT tools, Data Modeling tools. They will also have hands-on experience with cloud data platforms (Azure, AWS, or GCP), proficiency in SQL, Python/Scala, and modern data tools (e.g., Apache Spark, Kafka, Airflow).
Key Responsibilities:
• Design end-to-end data and analytics solutions tailored to banking use cases such as credit risk analysis, customer 360, fraud detection, regulatory compliance, and portfolio management.
• Work closely with business stakeholders, data engineers, data scientists, and BI developers to translate business needs into scalable and secure data architectures.
• Define the data strategy and architecture blueprint, including data ingestion, storage, processing, and consumption layers.
• Champion the adoption of modern data platforms and tools (e.g., GCP, Azure Synapse, Snowflake, Databricks, Power BI, Tableau, Looker etc.).
• Ensure data governance, quality, lineage, and security standards are embedded into solution design.
• Lead technical discussions with enterprise architects, solution architects, and delivery teams.
• Stay updated on banking industry trends, regulatory requirements (e.g., Basel, AML, KYC), and emerging technologies.
• Develop reference architectures, design patterns, and reusable components for analytics solutions
If you're an experienced Data Analytics Solution Architect with a passion for delivering innovative data-driven solutions, we want to hear from you!
Required Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in data architecture, data engineering, or analytics roles.
• 5+ years of experience specifically in the banking or financial services domain.
• Deep knowledge of SQL, Spark, Python, Git, ETL/ELT tools, Data Modeling tools.
• Proven track record designing large-scale data platforms (on-premises or cloud).
• Strong knowledge of data modeling, ETL/ELT, data lakes, and data warehousing concepts.
• Hands-on experience with cloud data platforms (Azure, AWS, or GCP).
• Proficiency in SQL, Python/Scala, and modern data tools (e.g., Apache Spark, Kafka, Airflow).
• Familiarity with reporting and visualization tools like Power BI, Tableau, or Looker.
• Knowledge of data privacy, security, and compliance in financial services.
Preferred Skills: Certification in any cloud platforms (e.g., GCP, Azure, AWS or Snowflake or Databricks). Understanding of machine learning pipelines and AI-driven analytics in banking. Experience with real-time data streaming and event-driven architectures. Familiarity with core banking systems and APIs.
💡 Quick Summary
Seeking a career-building opportunity? The Data Analytics Solution Architect – Banking Domain position is now open for candidates interested in the Bank Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
